AI Engineer

Workday Sweden Aktiebolag

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure. In this role, you will Architect multi-step planning, orchestration, and tool routing for agents Implement code generation agents and sandboxed code execution Engineer memory, state, and context packing/grounding strategies Balance latency, quality, and cost controls for agent execution Develop safe fallbacks, graceful degradation and robust error handling Collaborate with platform and search teams to deliver reusable agent infrastructure Establish safety guarantees and measurable quality improvements About You Basic Qualifications: 3+ years of software engineering experience building production backend or platform systems. 3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services. 3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture. 3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability. Other Qualifications: Experience building and deploying LLM-powered applications in production. Experience building agent platforms or AI infrastructure. Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc. Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems. Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.). Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith. Familiarity with vector databases, prompt and context engineering, and experimentation tooling. Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times. Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms. Comfort working with Postgres and Redis in high-throughput, low-latency service contexts. Contributions to open source TypeScript projects. Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production. Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

ChopChop AB

Vi bygger framtidens digitala lösningar – vill du vara med? ChopChop söker en Senior AI- och Automation Engineer till vårt team i Rosersberg! Är du en erfaren fullstackutvecklare som brinner för AI, automation och smarta system? Gillar du att bygga lösningar som effektiviserar verksamheter och skapar verkligt värde? Då kan det vara dig vi söker. Vi letar efter en senior utvecklare med en stark teknisk grund som vill ta en ledande roll i vårt arbete med AI och automation. Du kommer att vara med och identifiera möjligheter, bygga lösningar och driva innovation som hjälper ChopChop att arbeta smartare, snabbare och mer datadrivet. Vad innebär rollen hos oss? 💻 Som Senior AI & Automation Engineer arbetar du från vårt huvudkontor Gigachop i Rosersberg tillsammans med vårt utvecklingsteam. Du blir en nyckelperson i arbetet med att utveckla AI-drivna lösningar och automatiserade processer som används i hela verksamheten. Du kommer att: Utveckla och implementera AI-drivna lösningar och interna verktyg Bygga automationer som effektiviserar arbetsflöden och minskar manuellt arbete Integrera system, API och externa tjänster Arbeta med moderna AI-plattformar och språkmodeller Utveckla interna system och digitala produkter tillsammans med teamet Ta ansvar för hela utvecklingsprocessen – från idé till produktion Samarbeta nära verksamheten för att identifiera områden där AI och automation kan skapa värde Här får du möjlighet att vara med och forma hur AI används inom ett växande företag och omsätta idéer till lösningar som används på riktigt. Vad kan du förvänta dig av oss? 🚀 Ett kompetent och engagerat utvecklingsteam med korta beslutsvägar Stor frihet att påverka teknikval, arbetssätt och lösningar Möjlighet att driva och utveckla ChopChops AI-initiativ Ett företag i stark tillväxt med höga ambitioner Ett modernt huvudkontor i Rosersberg där vi arbetar tillsammans på plats En roll där du får kombinera utveckling, innovation och affärsnytta Vi tror att du: Har flera års erfarenhet som Fullstack Developer, Backend Developer eller Software Engineer Har stark kompetens inom systemutveckling och moderna webbteknologier Har erfarenhet av Node.js, TypeScript, JavaScript eller liknande tekniker Har arbetat med API, integrationer och databaser Har erfarenhet av eller ett stort intresse för AI, LLM och automation Är van att ta ägarskap och driva projekt från idé till färdig lösning Är nyfiken, lösningsorienterad och gillar att lära dig ny teknik Meriterande Erfarenhet av OpenAI, Claude, Anthropic eller andra AI-plattformar Erfarenhet av AI-agenter, RAG-lösningar eller workflow automation Erfarenhet av AWS, Docker eller Kubernetes Erfarenhet av verktyg som n8n, LangGraph, LangChain eller liknande 📍 Tjänsten är placerad på vårt huvudkontor Gigachop i Rosersberg och kräver närvaro på plats. Lön: Månadslön enligt överenskommelse. Låter det intressant? Skicka in din ansökan och berätta hur du har arbetat med utveckling, AI och automation. Vi ser fram emot att höra från dig!

Knowit Aktiebolag (publ)

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.