Search results for "Multi-agent Systems"

Sinch Operator Software AB

DESCRIPTION Sinch Telco is a standalone business within Sinch. Our products propel communications services for mobile operators and enterprises around the globe. We are looking for a Principal Software Engineer with focus on AI-driven Development, to accelerate adoption of AI-powered development practices across Sinch Telco. In this role, you’ll be a hands-on practitioner, leveraging AI agents to design, build and deliver software while shaping how AI is applied in real engineering environments. Together we will move toward a paradigm where software developers manage teams of specialized virtual AI agents for requirements analysis, implementation, testing, documentation, and deployment. We intend to unlock new capabilities that enable teams to build and ship faster with higher quality, security, and maintainability. You see the future of AI-driven development clearly but understand that progress requires practical steps and patience. You demonstrate value through hands-on work and tangible results. You collaborate well with experienced colleagues as a peer and respect existing domain knowledge while contributing new perspectives and influence through quality of work. You are self-directed, proactive, and comfortable operating with ambiguity. The AI tooling landscape changes rapidly and you are energized by this pace. As our Principal Software Engineer, you will: Act as a highly productive, hands-on software engineer using AI agent orchestration to deliver features and products across multiple areas Define, evolve, and scale best practices, workflows, and tooling for AI-assisted development across coding, testing, documentation, and deployment. Evaluate, select, and configure emerging AI development tools and agent frameworks. Create reusable agent configurations, custom instructions, and workflows tailored to the organization's codebases. Partner with engineers, architects, and product managers to define clear requirements and product direction using a product management-informed perspective. REQUIREMENTS 8+ years of software engineering experience with proven ability to design, evaluate, and evolve software architectures. Solid understanding of distributed systems, APIs, and system integration. Experience with telecom systems, BSS/OSS, messaging infrastructure, or CPaaS is a plus. Hands-on experience applying AI-assisted development tools such as Copilot, Cursor, Claude, in real-world software delivery, not just experimentation. Experience working with AI-driven and agent-based development workflows, including autonomous coding agents and multistep task orchestration. Ability to define clear, structured, and decomposable requirements for both engineers and AI agents, with strong product awareness and understanding of the “why” behind solutions. Practical experience with Model Context Protocol, tool-use patterns, or equivalent integration standards for reliable multi-agent/tool orchestration. Experience with multi-agent frameworks such as CrewAI, AutoGen, LangGraph is a plus. Strong communication skills, with the ability to articulate technical concepts, document approaches, and collaborate effectively across teams. Our corporate language is English, please submit your application in English. We are not supporting relocation at this time. Applicants must either hold a Swedish or EU/EEA citizenship or have a valid Swedish work permit. OUR HIRING PROCESS We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with us!

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   As a Data Scientist, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+YEARS of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities  Fraud & Banking Analytics *  Develop, validate, and maintain supervised and unsupervised models for fraud detection, credit risk scoring, AML typology identification, and transaction anomaly detection. *  Build real-time and near-real-time scoring pipelines integrating with banking event streams (Kafka, Pub/Sub) and decision engines. • Perform deep exploratory analysis of transactional data, customer behavioural signals, merchant data, and graph-based relationship networks to surface fraud patterns. *  Collaborate with compliance, risk, and product teams to translate regulatory requirements (RBI guidelines, PCI-DSS, Basel III) into model design constraints. *  Construct and maintain feature stores covering entity-level aggregations, velocity features, device/network signals, and geospatial behavioural attributes. *  Champion model interpretability using SHAP, LIME, and counterfactual explanations to satisfy audit and regulatory scrutiny.  Generative AI & Deep Learning * Design and fine-tune LLMs (Gemini, GPT-4o, Llama, Mistral) on proprietary banking corpora using PEFT and LoRA for tasks such as SAR narrative generation, dispute summarisation, and customer communication. *  Architect Retrieval-Augmented Generation (RAG) systems grounded in internal knowledge bases — policy documents, fraud rulebooks, regulatory  circulars — with vector stores (Pinecone, Milvus, Weaviate, ChromaDB). *  Apply Computer Vision and NLP to multimodal data pipelines (cheque images, KYC documents, audio call transcripts) for identity verification and fraud triage. • Develop generative models (GANs, VAEs, Diffusion) for synthetic data augmentation to address class imbalance in fraud datasets while meeting data-privacy obligations. *  Build prompt engineering frameworks using LangChain and LlamaIndex; implement chain-of-thought and agentic reasoning for complex investigative workflows.  Engineering & Delivery * Write production-ready Python code adhering to Valtech engineering standards — unit-tested, type annotated, and reviewed. * Operationalise models with MLOps tooling (MLflow, Kubeflow, Vertex AI Pipelines) covering versioning, A/B experimentation, drift monitoring, and automated retraining.  *  Expose model outputs via FastAPI or Flask microservices integrated with banking middleware and case management platforms. *  Work within Agile delivery squads, participate in sprint planning, demo sessions, and client-facing workshops. Governance & Stakeholder Engagement * Enforce Responsible AI principles — bias audits, fairness metrics, model cards, and NeMo Guardrails for deployed LLMs. * Translate complex model behaviour into clear narratives for non-technical stakeholders including compliance officers, fraud investigators, and C-suite sponsors.  MUST HAVE QUALIFICATIONS Fraud & Banking Domain * Proven track record building fraud models (card-not-present, account takeover, synthetic identity, first-party fraud, money-mule networks). * Experience with graph analytics (PyG, DGL, Neo4j) for network-based fraud ring detection. * Familiarity with banking data schemas: ISO 8583, SWIFT MT messages, core-banking extracts, and bureau data (CIBIL/Experian). * Exposure to regulatory frameworks: RBI Master Directions on Fraud, FATF AML/CFT guidelines, PCI-DSS Level 1 environments.  Core AI / ML  * Expertise in supervised learning (XGBoost, LightGBM, neural networks) and unsupervised methods (isolation forest, autoencoders, DBSCAN) for anomaly detection. *  Strong foundations in Computer Vision and NLP; proven experience with multimodal pipelines combining images, text, and structured tabular data. *   Proficiency in PyTorch or TensorFlow for model development and custom training loops. Generative AI Stack * Hands-on with Gemini, OpenAI GPT-4x, and open-source LLMs (Llama 3, Mistral, Phi-3). *  Model fine-tuning using PEFT, LoRA, and QLoRA on domain-specific corpora. *  RAG architecture design: chunking strategies, hybrid retrieval (BM25 + dense), re-ranking, and query routing. *  Vector database proficiency: Pinecone, Milvus, Weaviate, or ChromaDB for semantic search and knowledge grounding. *  Advanced prompt engineering: chain-of-thought, few-shot, structured output, and tool-calling patterns using LangChain or LlamaIndex.  Engineering * Python (primary): pandas, NumPy, scikit-learn, PySpark; clean, production-ready, PEP-8 compliant code with test coverage. *  Cloud: hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Run), AWS (SageMaker, Redshift), or Azure (ML Studio, Synapse). *  SQL proficiency for complex analytical queries across relational and columnar stores (BigQuery, Snowflake, Redshift). *  MLOps fundamentals: experiment tracking (MLflow), containerisation (Docker, Kubernetes), CI/CD pipelines for model deployment. NICE TO HAVE QUALIFICATIONS   * MLOps tooling: MLflow, Kubeflow, Vertex AI Pipelines for end-to-end model lifecycle management. * Responsible AI: bias detection frameworks, model fairness metrics, NeMo Guardrails for safe LLM deployment.  * API Development: wrapping models in production REST APIs using FastAPI or Flask.  * Reinforcement Learning from Human Feedback (RLHF) and self-supervised learning approaches.  * Experience with emerging GenAI architectures: multi-agent systems, mixture-of-experts, speculative decoding. * Databricks (Unity Catalog, Delta Live Tables, MLflow) for large-scale feature engineering and model serving. * Exposure to open-banking APIs and real-time payment rails (UPI, IMPS, RTGS) from a data perspective.  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a Full-Time position based in Bengaluru  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.    Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.    About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Adyen

THIS IS ADYEN Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. AI RESEARCH Adyen is building a world-class AI team to redefine what intelligent systems can do in financial technology. As a Senior AI Research Engineer, you will take on some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks; building the evaluation infrastructure that makes those systems trustworthy in production; and shaping how humans and AI collaborate at scale within a global payments company. This is not a narrow research role. You will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization — including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company. WHAT YOU'LL DO * Design and Deploy AI Agents for Complex Tasks: Lead the research, design, and deployment of AI agents built for long-horizon, multi-step tasks in real-world financial contexts — including data analysis pipelines, operational workflows, and integrity risk scenarios. Architect robust agentic systems covering multi-agent orchestration, tool dispatch, context and memory management, and error recovery for long-running workflows. Design human-in-the-loop mechanisms that define when agents act autonomously, when they surface uncertainty, and when they escalate or defer to humans. * Own Evaluation and Benchmarking: Define and lead the evaluation strategy for the agentic systems and LLMs your team builds and deploys. Design internal benchmarks grounded in real domain complexity — probing for genuine capabilities, edge cases, and failure modes that standard metrics miss. Build reusable evaluation infrastructure that is embedded in the development process, not bolted on after the fact. * Provide AI Expertise Across the Organization: Serve as a technical resource for AI initiatives across Adyen — evaluating agentic frameworks, retrieval and search strategies, or agent tool-use approaches across partner teams. Surface connections across initiatives and help teams avoid duplicating work or converging on the wrong approach. * Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI organization. WHO YOU ARE * You have 6+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments. * You have deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering, and failure modes at scale. * You have proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design. You understand what separates production agents from research prototypes. * You are rigorous and systematic about evaluation. You have designed evaluation frameworks or internal benchmarks that go beyond standard metrics. You understand the failure modes of LLM-as-judge approaches and know how to measure what actually matters for a given system and use-case. * You have a strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics. You reach for the appropriate tool for the problem. * You write clean, well-structured, production-ready code, primarily Python, and you hold research code to an engineering standard. * You have hands-on experience with at least one production-grade agentic framework. NICE TO HAVE (TELL US ABOUT THEM!) * Any experience with tabular deep learning architectures * Familiarity with financial data, payments, fraud detection, or risk systems. * Track record of external visibility: publications, conference presentations, or open-source contributions. * Experience with observability and evaluation tooling. * Familiarity with MLOps and model deployment pipelines in large-scale environments. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.   This role is based out of our Madrid office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. We'll cover your relocation if you want to live in our wonderful, sunny, and bright city.

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  Our Payment Solutions team is the engine behind this, processing billions of transactions while empowering businesses to create seamless payment experiences. As Adyen and our merchants scale globally, the complexity and volume of our operational knowledge are growing exponentially. Senior Software Engineer AI/ML - Payments To position our Payments organization at the technological forefront, we are establishing a GenAI team focused on identifying high-impact use cases for automation through agentic capabilities. As a Senior Software Engineer AI/ML, you will undertake some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks, building the infrastructure to ensure production-grade reliability, and shaping how humans and AI collaborate at scale within a global payments company. This is not a narrow research role. You will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization, including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company. What you’ll do: * Discover and Build: You will be an explorer within Adyen, proactively engaging with product and engineering teams to uncover their most critical challenges. You won't wait for instructions; you'll find high-impact opportunities and rapidly design and build AI prototypes (MVPs) to demonstrate value. * Develop Strategic AI Products: You will own the end-to-end development of bespoke AI tools that solve problems unique to Adyen's scale. Whether it's optimizing merchant experience, enhancing pricing models, or improving internal workflows, you will build intelligent solutions. * Own Evaluation and Benchmarking: Define and lead the evaluation strategy for the agentic systems and LLMs your team builds and deploys. Design internal benchmarks grounded in real domain complexity, probing for genuine capabilities, edge cases, and failure modes that standard metrics miss. Build reusable evaluation infrastructure that is embedded in the development process, not bolted on after the fact. * Provide AI Expertise Across the Organization: Serve as a technical resource for AI initiatives across Adyen - evaluating agentic frameworks, retrieval and search strategies, or agent tool-use approaches across partner teams. Surface connections across initiatives and help teams avoid duplicating work or converging on the wrong approach. * Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI organization. Who you are: * You have 7+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments. * You have deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering (RAG), and failure modes at scale. * You have proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design. You understand what separates production agents from research prototypes. * You are rigorous and systematic about evaluation. You have designed evaluation frameworks or internal benchmarks that go beyond standard metrics. You understand the failure modes of LLM-as-judge approaches and know how to measure what actually matters for a given system and use-case. * You have a strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics. You reach for the appropriate tool for the problem. * You write clean, well-structured, production-ready code, primarily Python, and you hold research code to an engineering standard. * You have hands-on experience with at least one production-grade agentic framework. Nice to Have (tell us about them!) * Familiarity with financial data, payments, fraud detection, or risk systems. * Track record of external visibility: publications, conference presentations, or open-source contributions. * Experience with observability and evaluation tooling. * Familiarity with MLOps and model deployment pipelines in large-scale environments.  Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Redeploy AB

TL;DR → You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands. → Consulting across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product. A few examples of what this looks like in practice: A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use. An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle. AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Agentic AI in enterprise environments is one of the most technically demanding spaces in the industry right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically and become the go-to person for enterprise AI architecture? Go for it. Want to lead client engagements, own stakeholder relationships and drive use-cases from discovery to production? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling. Who you are You care whether your AI systems actually work, not just whether they run, and you have an instinct for finding failure modes before they reach production. You care about how users interact with it, and you don't consider a use-case done until it's working end-to-end, interface included. You might come from a fullstack engineering or traditional ML/Data background. What matters is that you're already building AI solutions, whether that's a side project, a POC, or a deep dive into a new framework. Curiosity is a given. The question is whether you act on it. You like being close to the people who'll use what you build. You can run a requirements workshop, figure out what a stakeholder actually needs versus what they asked for, and explain why a retrieval pipeline is underperforming, all with the same clarity. What you bring Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills. About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. WHAT YOU'LL DO You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. RESPONSIBILITIES * Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. * Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. * Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. * Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. * Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. * Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. * Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. * Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. * Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. * Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 10+ years of professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. * Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. * Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. * Strong product instincts and a deep understanding of the business context in which you operate. * Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. * Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. * The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. * Hands-on experience using AI tools to accelerate how you work. PREFERRED QUALIFICATIONS * Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. * Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. * Experience rapidly developing prototypes and iterating based on user feedback. * Experience training and shipping machine learning models to production to solve critical business problems. * Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). * Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). * Ability to synthesize ideas across the organization while setting a compelling technical vision. * Comfortable working with geographically distributed teams. * Passion for side projects, open source, or self-driven technical initiatives.

Anyfin

HELP PEOPLE TAKE CONTROL OF THEIR FINANCES. JOIN US AT ANYFIN At Anyfin, we believe financial power belongs in the hands of the people. Since 2017, we’ve helped customers across Sweden, Finland, Norway, and Germany save millions by refinancing expensive consumer credit. And we’re just getting started. With new markets, new tools, and new products ahead, we’re on the lookout for more brilliant minds and big hearts to grow our Operations team. We’re now hiring a Swedish-speaking Operations Agent who’s eager to make a real impact on customers’ financial health - every single day. The position is based in Stockholm. 🙌 WHAT YOU’LL BE DOING As an Operations Agent, you become a key player in our core operations. Your work will directly shape the customer experience and the success of our mission. Your responsibilities: Credit Application Processing: * Review and evaluate incoming credit applications using our internal tools. * Ensure accuracy and completeness of customer information and documentation. * Follow internal guidelines and regulatory requirements throughout the process. System & Process Feedback: * Identify recurring issues, system bugs, edge cases, and customer pain points. * Provide structured, actionable feedback to Product, Engineering, and Operations leads. * Track anomalies and escalate issues with clear summaries (steps to reproduce, expected/actual outcomes, screenshots, etc.). Conversion & Quality Focus: * Spot patterns that may affect approval rates or customer experience. * Suggest improvements to workflows, rules, or system logic. * Maintain high throughput without sacrificing attention to detail or compliance. Collaboration: * Work closely with the Credit, Product, and Communications Team * Communicate findings clearly and contribute to cross-functional discussions on improving the application journey. 🧠 Qualifications & Skills Experience: * 1–2 years experience in fintech operations, underwriting support, KYC/KYB, QA, customer operations, or similar roles. * Experience working with internal tools, multi-step workflows, or case management systems. Technical & Analytical Abilities: * High system literacy; comfortable learning complex internal tools quickly. * Strong pattern recognition and analytical thinking. * Ability to differentiate between user error, data inconsistency, and actual system faults. Soft Skills * Exceptional attention to detail and structured working style. * Strong written communication—able to summarise issues succinctly. * Proactive mindset with a natural curiosity for how systems and processes work. * Comfortable in a fast-paced environment with evolving processes. Bonus Skills * Experience in credit products, consumer lending, or financial regulations. * Exposure to QA workflows, bug reporting, or user journey testing. * Knowledge of basic metrics (e.g., approval rate, drop-off points, SLAs). LANGUAGES * Native-level Swedish & fluent in English * Bonus: Knowledge in one of our other core market languages 🚀 WHAT DRIVES YOU * Growing your career in fintech * Working ethically and helping customers regain financial control Being part of an ambitious, international, mission-driven team * Making real impact - not just executing routine tasks 🎁 WHAT WE OFFER * A modern office in central Stockholm * A diverse team from all over the world * Real opportunities for learning, development, and career progression * A supportive and high-performing Communications & Applications team * Breakfast, after-work hangouts, wellness perks, and top-tier tech gear * A workplace that values curiosity, innovation, and continuous improvement This is your chance to join a fintech company transforming financial health and to grow alongside a team that’s only getting started. READY TO MAKE A DIFFERENCE? We can’t wait to meet you. Apply today and help us build a fairer financial future for everyone.

Anyfin

HELP PEOPLE TAKE CONTROL OF THEIR FINANCES. JOIN US AT ANYFIN At Anyfin, we believe financial power belongs in the hands of the people. Since 2017, we’ve helped customers across Germany, Sweden, Finland, and Norway save millions by refinancing expensive consumer credit. And we’re just getting started. With new markets, products, and tools on the horizon, we’re looking for curious minds and collaborative teammates to strengthen our Operations team. We’re now hiring a German-speaking Operations Agent – Student Worker. This role is ideal for students at the beginning of their studies or individuals looking for a stable part-time position over a longer period of time. The position is based in Stockholm. WHAT YOU’LL BE DOING As a German-speaking Operations Agent – Student Worker, you will be a key player in our core operations. Your work will directly shape the customer experience and the success of our mission. YOUR RESPONSIBILITIES: * Analyze and evaluate credit applications to produce responsible, transparent offers * Follow credit policies and regulatory standards with precision * Communicate with customers across email, chat, phone, and social media * Ensure top-quality customer experience - every interaction counts * Handle administrative tasks, including AML/KYC checks, customer verification, and regulatory documentation * Suggest and implement improvements to processes, tools, and workflows * Collaborate closely with a supportive, energetic, cross-functional team * Qualifications & Skills EXPERIENCE: * Experience working with internal tools, multi-step workflows, or case management systems. * Experience fintech operations, KYC/KYB processes, quality assurance, customer operations, or similar areas is a plus. Technical & Analytical Abilities: * High system literacy; comfortable learning complex internal tools quickly. * Strong pattern recognition and analytical thinking. * Ability to investigate issues and distinguish between user mistakes, data inconsistencies, and potential system errors. LANGUAGES: * Native-level German and fluent English. * Bonus: Knowledge of one of our other core market languages. WHAT DRIVES YOU * Is motivated to grow and learn within fintech * Works ethically and cares about helping customers regain financial control * Enjoys being part of an ambitious, international, mission-driven team * Wants to make a real impact rather than only executing routine tasks WHAT WE OFFER * 65 hours per month on average 10–15 hours per week and stepping in when needed * A modern office in central Stockholm * A diverse team from all over the world * Real opportunities for learning, development, and career progression * A supportive and high-performing Operations team * Snacks, After-work hangouts, wellness perks, and top-tier tech gear * A workplace that values curiosity, innovation, and continuous improvement This role is designed to work well alongside university studies or another part-time job. Our working hours are scheduled during both weekdays and weekends. We offer you the opportunity to combine your studies with practical experience in a collaborative environment focused on learning, problem-solving, and making a real impact. This is your chance to join a fintech company transforming financial health and grow alongside a team that’s just getting started. READY TO MAKE A DIFFERENCE? We can’t wait to meet you. Apply today and help us build a fairer financial future for everyone.

Anyfin

HELP PEOPLE TAKE CONTROL OF THEIR FINANCES. JOIN US AT ANYFIN At Anyfin, we believe financial power belongs in the hands of the people. Since 2017, we’ve helped customers across, Finland, Sweden, and Norway save millions by refinancing expensive consumer credit. And we’re just getting started. With new markets, products, and tools on the horizon, we’re looking for curious minds and collaborative teammates to strengthen our Operations team. We’re now hiring a Finnish-speaking Operations Agent – Student Worker. This role is ideal for students at the beginning of their studies or individuals looking for a stable part-time position over a longer period of time. The position is based in Stockholm. WHAT YOU’LL BE DOING As a Finnish-speaking Operations Agent – Student Worker, you will be a key player in our core operations. Your work will directly shape the customer experience and the success of our mission. YOUR RESPONSIBILITIES: * Analyze and evaluate credit applications to produce responsible, transparent offers * Follow credit policies and regulatory standards with precision * Communicate with customers across email, chat, phone, and social media * Ensure top-quality customer experience - every interaction counts * Handle administrative tasks, including AML/KYC checks, customer verification, and regulatory documentation * Suggest and implement improvements to processes, tools, and workflows * Collaborate closely with a supportive, energetic, cross-functional team * Qualifications & Skills EXPERIENCE: * Experience working with internal tools, multi-step workflows, or case management systems. * Experience fintech operations, KYC/KYB processes, quality assurance, customer operations, or similar areas is a plus. Technical & Analytical Abilities: * High system literacy; comfortable learning complex internal tools quickly. * Strong pattern recognition and analytical thinking. * Ability to investigate issues and distinguish between user mistakes, data inconsistencies, and potential system errors. LANGUAGES: * Native-level Finnish and fluent English. * Bonus: Knowledge of one of our other core market languages. WHAT DRIVES YOU * Is motivated to grow and learn within fintech * Works ethically and cares about helping customers regain financial control * Enjoys being part of an ambitious, international, mission-driven team * Wants to make a real impact rather than only executing routine tasks WHAT WE OFFER * 50 hours per month on average 10–15 hours per week and stepping in when needed * A modern office in central Stockholm * A diverse team from all over the world * Real opportunities for learning, development, and career progression * A supportive and high-performing Operations team * Snacks, After-work hangouts, wellness perks, and top-tier tech gear * A workplace that values curiosity, innovation, and continuous improvement This role is designed to work well alongside university studies or another part-time job. Our working hours are scheduled during both weekdays and weekends. We offer you the opportunity to combine your studies with practical experience in a collaborative environment focused on learning, problem-solving, and making a real impact. This is your chance to join a fintech company transforming financial health and grow alongside a team that’s just getting started. READY TO MAKE A DIFFERENCE? We can’t wait to meet you. Apply today and help us build a fairer financial future for everyone.

Sanity

We're hiring a senior engineer for Content Agent - Sanity's operations layer for structured content. It's the system that turns content work (bulk edits, audits, translation, publishing) into things an agent can actually run. It lives in Dashboard, Studio, Slack, and behind a headless API. If you've spent time on AI systems that have to hold up for real users, not just in a demo, read on. At Sanity, we build an AI-powered content operating system that lets teams model, create, and automate content the way their business actually runs. SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew run their content operations on it. Content Agent is the part of the product that understands structured content - schemas, references, field types, validation rules - and can be trusted to operate on it correctly. You'd be doing full-stack product work in TypeScript and React: MCP tools and integrations, agent orchestration, system prompts, evals to make the whole thing more reliable. Engineers on this team own their domain and work closely with product on what gets built next. WHAT YOU'D BE DOING: * Full-stack product work: React interfaces in Dashboards, APIs, backend services. * MCP tools and integrations that extend what the agent can do. * Agent loops: the orchestration logic that decides what the agent does, in what order, and when to bring a human in. * System prompts. We treat these as real engineering artifacts, not a note at the top of a file. * Evals and experiments to measure and improve reliability in real usage. * GROQ, Sanity's content query language - using it to give the agent a deep understanding of structured content. * Shaping what Content Agent becomes, with product and design. There's a lot of latitude here. ABOUT YOU: * Location: London, UK or Oslo, Norway (in-office 2–3 days/week) * Strong TypeScript and React, comfortable across the stack (frontend, APIs, backend). You don't want to be boxed into one layer. * You've shipped LLM-based systems in production. You know the hard part isn't getting a model to do something once; it's getting it to do the right thing for every user who shows up. * You think in systems. Given a new agent capability, you think through user intent, edge cases, failure modes, and what that means for the architecture: what the agent knows, what tools it has, when it escalates. * You write well and you care about why one phrasing works where another doesn't. An agent's instructions are prose running on a system that reads literally. Writing them well takes a feel for how language lands, not just what it says - who "you" refers to, what's implied versus explicit, how a sentence will actually be parsed. * You're comfortable with probabilistic systems. Improving an LLM product means running experiments, designing evals, reading results statistically, and not chasing individual failures when the aggregate trend is what matters. You've moved past "it compiles or it doesn't." * Real experience with, or real curiosity about, MCP, tool-use patterns, and agent architectures. * You care about craft in code, in writing, and in the products you ship. Nobody checks every box. We're especially interested in people from non-traditional backgrounds - writing, interaction design, liberal arts - who've built real engineering skills on top. Some of the best agent work we've seen comes from people who understand language and how people actually work, not just systems architecture. If this sounds like you, send something in. WHAT WE CAN OFFER: * A highly-skilled, inspiring, and supportive team * Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth * A global, multi-culturally diverse group of colleagues and customers * Comprehensive health plans and perks * A healthy work-life balance that accommodates individual and family needs * Competitive stock options program and location-based salary WHO WE ARE: Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that, in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Sanity

At Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations. Sanity Content Agent is where AI meets structured content - an intelligent assistant that deeply understands each customer's content model, follows references like an experienced team member, and combines web research with internal content knowledge in a single conversation. Sanity is uniquely positioned for this moment: we already have a scaled Content Lake holding our customers' structured content, which becomes rich context that generic AI tools simply can't match. Your team will push the boundaries of what's possible when AI truly understands content: auditing thousands of documents in seconds, surfacing inconsistencies before customers do, and generating perfectly structured documents that respect complex validation rules. With a strong and growing team of 4 engineers and room to scale as the product grows, you'll shape the AI capabilities that turn hours of content work into minutes. You'll balance the technical challenges of LLM integration and agentic workflows with the product sensibility to make AI that content teams actually trust. Learn more about the team’s products here, here and here. This role requires a good grasp of web fundamentals and toolchains and an understanding of how the modern web works. We also seek someone with strong organizational and planning skills. Leading an engineering team at Sanity is about working with the product manager and designer of the team, to own the strategy, roadmap, and execution. This is achieved by working with great people and creating an environment where your team can shine. As a senior engineering management leader, you’ll be responsible for growing a strong and engaged team to meet these challenges. WHAT YOU WOULD DO: * Helping a team of talented engineers to organize and prioritize their work for the highest impact. * Balance technical excellence with shipping velocity in a fast-moving environment. * Experience working at a product/SaaS company. * Champion developer experience while building for non-technical content creators. * Influencing the direction of both Sanity and of modern web development and content operations. * Work closely with the Head of Engineering, along with leadership in product management and design, to facilitate teamwork and establish processes that can scale as we do. * Supporting the growth and development of your team and team members. ABOUT YOU: * Based in London, UK, or Oslo, Norway, and able to work at least 2-3 days per week in the office. * 1+ years of engineering management experience & 4+ years of engineering experience, ideally in developer tools or content platforms * Strong technical background in TypeScript/JavaScript and modern web technologies * Ability to navigate ambiguity and drive clarity in product direction * Working knowledge of prompt engineering, evaluation frameworks, and techniques for improving model reliability * Understanding of embedding models, vector search, and how to ground AI outputs in structured data * Ability to distinguish AI capabilities that genuinely solve user problems from those that just demo well * Track record of shipping user-facing products at scale * Experience leading teams building complex, extensible applications * An ability to understand software architecture design considerations Not sure you’re exactly what we’re looking for in this role? Apply anyway! WHAT WE CAN OFFER: * A highly-skilled, inspiring, and supportive team * Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth * A global, multi-culturally diverse group of colleagues and customers * Comprehensive health plans and perks * A healthy work-life balance that accommodates individual and family needs * Competitive salary and stock options program WHO WE ARE: Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

SVERIGES LANTBRUKSUNIVERSITET

Department of Ecology The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a dynamic and excellent research environment with modern infrastructure. The Department of Ecology has about 150 employees, of whom around 40 work at the Grimsö Research Station in Bergslagen. Together, the SLU Ecology Centre and Grimsö Research Station conduct research on sustainable agriculture and forestry, plant protection, nature conservation, and wildlife management, and provide scientific knowledge to inform Sweden and Europe’s environmental policies.   About the position Project Can we foresee the outcomes of public policies, political choices and other decisions? We are finding out by developing serious games and running them using AI. We are building large-scale simulations of societal processes (environmental negotiations, nature conservation policies, and hybrid-threat scenarios) in which every actor is an autonomous AI agent powered by Large Language Models (LLMs). These agents simulate real-world stakeholders, from government ministers to interest groups, and interact through natural language in complex strategic settings. We then run thousands of iterations to map the distribution of outcomes. This effort is part of a new research program Articulating Complexity ( https://www.slu.se/articulating-complexity/ ) hosted at the Swedish University of Agricultural Sciences (SLU) and led by Guillaume Chapron (Docent). It is funded by grants from the Swedish Research Council (VR), the Swedish Foundation for Strategic Environmental Research (Mistra), and the Swedish Research Council for Sustainable Development (FORMAS). Our goal is to build a novel methodology at the intersection of AI, ecology, political science, and complex system analysis that may change how policies are designed and stress-tested and how governments prepare for crises. We are looking for ambitious research engineer to join this effort. Tasks and duties You will be the person who makes the simulations actually run. Concretely, this means: Building the LLM-agent infrastructure (from an existing working implementation). Each agent has a multi-tier memory and an affect state that modifies both prompts and available actions, and a strategic reasoning layer that tracks reputation, commitments, and mental models of other agents. Extending and maintaining the multi-agent simulation framework. A simulation runs dozens of concurrent LLM instances, communicating through structured message-passing protocols. You will develop and maintain this framework, including the validation methodology. Running large-scale Monte Carlo simulations at scale on GPU-enabled HPC clusters (e.g. NAISS). Publishing and dissemination of the project results. You will co-author scientific publications from the project. The research will produce papers at the intersection of computational social science, ecology, security studies, and AI. You will work closely with the PI (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) and a postdoctoral researcher in computational social science (to be recruited concurrently). The three of you will form the core team. Your profile Required A degree in computer science, engineering, physics, applied mathematics, or a related quantitative field. A Master or engineering degree is sufficient; a PhD is welcome but not required. Strong programming skills, especially in Python, and sufficient understanding of machine learning/deep learning to work effectively with modern generative AI systems. Ability to assess and incorporate cutting-edge generative AI developments into the project. Experience with software engineering practices such as version control, testing, documentation, modular design, and reproducible workflows. Ability to work independently, debug complex systems under time pressure, and take ownership of technical infrastructure. Desirable Experience with LLMs, including programmatic use through APIs and local deployment. The candidate should be able to select, configure, adapt, and critically evaluate LLMs for research applications. Experience with deep reinforcement learning, agent-based modelling, or multi-agent systems, including the design of simulation environments, interacting agents, decision rules, feedback mechanisms, and scenario-based analyses. Experience with high-performance computing: batch job submission, GPU workflows, and managing large-scale computational experiments. Interest in the application domain: nature conservation, environmental policy, political science, geopolitics and security studies, complex adaptive systems. You do not need a formal background in these fields, but you should find them interesting. Assessment criteria Applications will be assessed on the following: Demonstrated technical ability. We care more about what you have built, than about what courses you have taken. A GitHub portfolio, a deployed system, a well-documented side project, or a track record of solving hard AI problems will carry more weight than a list of credentials. Autonomy and resourcefulness. This is a small team doing frontier work, so the role requires someone who can diagnose problems independently, make pragmatic technical decisions, and keep complex systems running. If that excites rather than worries you, this is the right position. Collaborative disposition. You will work daily with questions from very different disciplines: ecology, political science, geopolitics. The ability to communicate technical constraints and possibilities to non-technical collaborators is essential. Interpersonal skills will form an important part of the assessment. Location: The position is based either at Grimsö or at Uppsala, with a possibility to be partly based at another academic Swedish institution with a core expertise in AI and machine learning. Form of employment:  Fixed-term employment 12 months with the possibility of prolongation.  Scope: 100%. Start date: As agreed, as soon as possible after recruitment.  Application: Please submit your application before deadline 14 July 2026. You can submit your application by clicking the button below. This is a shortened advertisement. Please refer to the full advertisement on the SLU website for complete information about the position and details on what to include with your application.

ZF Solutions AB

CTO (Chief Technology Officer) — Zellify Zellify builds subscription web funnels for apps — quiz funnels, web paywalls, onboarding flows — and the AI layer that generates them. We work with app companies across Europe, the US and beyond. We're hiring a CTO to own our technology end to end and lead engineering as we scale. What you'll own The technical vision and architecture for the whole platform — from the AI agent runtime to the funnel infrastructure our customers build on. Our AI systems — LLM orchestration, multi-agent architecture, and the infrastructure that runs them at scale. Engineering execution — you set the standards, ship alongside the team, and are accountable for velocity, reliability and security. Building and leading the engineering team. What we're looking for Experience owning engineering at an early-stage startup — you've personally built and shipped product, and helped scale it. Deep, hands-on expertise in AI systems — LLM agents, orchestration, prompt and tooling infrastructure — building the systems around models, not just using them. Strong full-stack engineering (TypeScript/Node.js) and modern cloud/serverless infrastructure (e.g. Cloudflare, serverless databases). The judgment to make architecture calls under uncertainty and the discipline to keep the system secure and reliable as it scales. You lead by building, communicate directly, and raise the bar for everyone around you. We care about what you've built, not your credentials — a specific degree is not required. Nice to have Subscription/paywall or growth infrastructure, payment integrations, or marketing APIs. A track record scaling a product and a team from early stage. What we offer A senior leadership seat with real ownership and equity in a growing, revenue-generating company. Permanent, full-time role based in Stockholm (Sollentuna), on-site. Competitive fixed salary (by agreement) and relocation support for the right person. A direct, English-speaking, international team. How to apply Send a short note with your CV and GitHub/portfolio to careers@zellify.app. We review on a rolling basis.

Smartsheet

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. You will work remotely from Germany and will be reporting to Sr. Director, Engineering You Will: * Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. * Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. * Architect multi-agent solutions selecting the right coordination pattern for each customer's workflow characteristics and compliance requirements. * Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. * Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn't done. * Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria. * Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements. * Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality. You Have: * 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript. * Proven track record leading complex enterprise technical engagements. You've managed customer relationships, navigated security reviews, and delivered production systems organisations depend on. * Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale. * System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer. * Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects. * Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio. * You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you. * Ability to travel. This role requires domestic and international travel approximately 25–50% of the time. * Eligible to work in Germany on an ongoing basis. * Fluency in English is required. * BS or MS in Computer Science, a related field, or equivalent industry experience. Nice to Have: * Experience founding or scaling an FDE/solutions engineering function. * Technical founder background. Databricks, AWS Bedrock, or Temporal experience. * Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers). * Proficiency in German/French language will be an added advantage. * Familiarity with AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act). Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity. DE Base Salary Pay Range €87,500- 112,500€ EUR   Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote

Databricks

ReqID: FEQ327R501 Location:  London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission   As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI  thought leader. Impact you will have * Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. * GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. * Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. * Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap. * Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons.   What we look for * Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: * ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. * Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). * Hands-on experience working with Distributed Spark based systems * Experience with data engineering concepts or a good understanding of data engineering concepts  * Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. * Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. * Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Sumup

Customer Support Agent - German Speaker (Berlin based, onsite) SumUp is a leading global fintech company committed to leveling the playing field for small businesses. Founded in 2012, we’re the trusted partner of over 4 million merchants in 37 markets worldwide, providing simple and affordable tools that enable them to manage payments, business finances and customer relationships.  As a Customer Support Agent for the German market, you will be the voice of our company.    What you’ll be doing in this position * Supporting our German-speaking customers by phone, email, chat and social media channels * Supporting our merchants for all questions and inquiries about our POS solution * You actively work on the optimization of all processes related to our customers, to constantly increase the happiness of our merchants   You’ll be great for this position if you have * Multi-tasking skills * Excellent verbal and written communication (German and English) * Problem solving attitude * Experience with CRM systems * Demonstrated ability to work in team and also independently   Why you should join SumUp:   🌎Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup 🌈 Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced 📚 A dedicated annual L&D budget of €2000 for attending conferences and/or advancing your career through further education 🔄 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp 🔗 Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team #SumUpOps This job is on-site.   About SumUp   We believe in the everyday hero. Small business owners are at the heart of all we do, so we create powerful, easy-to-use financial solutions to help them run their businesses. With a founder’s mentality and a 'team-first’ attitude, our diverse teams across Europe, South America and the United States work together to ensure that the small business owners we partner with can be successful doing what they love.  SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. SumUp will not accept unsolicited resumes from any source other than directly from a candidate. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.