Search results for "LangGraph"

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!

Veritaz AB

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for an AI / Agent Engineer for a short-term assignment What You Will Work On Build AI-powered tools and agent-based applications Develop LLM-driven solutions using LangChain, LangGraph, or similar frameworks Design and implement generic text-to-SQL capabilities for structured data access Integrate AI agents with enterprise platforms and large-scale data sources Develop SDKs and tooling frameworks that enable teams to build and deploy agents Support migration of legacy data access solutions to Snowflake-based environments Implement secure read-only controls and guardrails for AI-driven data access Ensure aggregation accuracy and business-rule compliance within data solutions Design reusable agent tooling and platform capabilities Collaborate with cross-functional engineering teams on architecture and implementation Maintain high standards for code quality, testing, documentation, and scalability Contribute to the evolution of internal AI and agent ecosystems What You Bring Strong Python development skills Hands-on experience building LLM-powered applications, tools, or agent systems Experience with LangChain, LangGraph, or similar agent frameworks Strong SQL skills and experience implementing text-to-SQL solutions Experience designing SDKs, developer platforms, or reusable tooling frameworks Strong understanding of software engineering principles and system design Experience building scalable, production-grade applications Focus on code quality, testing, documentation, and maintainability Excellent analytical, problem-solving, and communication skills Ability to collaborate effectively across engineering and product teams

RebTel Networks AB

What will you do? As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines. AI is going from a side project to the core of how Rebtel operates and what we ship to our users. We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both. You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up. Areas of ownership: You'll own work across two complementary tracks, and you'll ship in both. Classical ML, in production, for operational leverage Risk and fraud models across payments, top-ups, and account behaviour Churn prediction and retention modelling on a user base of a million-plus Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining LLMs and AI agents, from internal automation to in-product features Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses Move LLM capability into the product as user-facing features Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 4+ years of hands-on ML engineering in Python, with real production ownership not just notebooks Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am Comfort working the whole loop: stakeholder scoping → data → model → deployment → measurement → iteration Strong written and spoken English, and the ability to translate between business problems and ML ones Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents Built RAG systems, agentic workflows, or LLM-backed products that real users (or real internal teams) actually used Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes Obsession with staying up-to-date on developments in the AI space Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack Experience in MLOps tooling: MLflow, Airflow, Kubernetes and feature stores is a plus Background in fintech, payments, telecom, or other regulated / operational domains is a plus Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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!

Liminity AB

Senior AI-arkitekt Konsultroll – LLM, ML och AI-plattform Vi söker en senior AI-arkitekt som vill leda design och införande av AI-lösningar hos våra kunder – från proof-of-concept till skalad produktion. Du är hands-on, rådgivande och van att navigera mellan affärsbehov, modellval, dataflöden, cloud-plattform och styrning. Du tar ledningen i tekniska vägval och har en åsikt om när LLM, klassisk ML eller "ingen AI alls" är rätt svar. I rollen • Designar end-to-end AI-arkitekturer som kopplar samman data, modeller, plattform och verksamhetsprocesser. • Leder tekniska vägval kring LLM-baserade system: RAG, agentiska arbetsflöden, prompt-strategier, evaluering och guardrails. • Vägleder team i frågor om MLOps, modellivscykel, datapipelines, monitorering och kostnadsstyrning. • Översätter affärsmål till skalbara och produktionsdugliga AI-lösningar tillsammans med datavetare, AI-ingenjörer och plattformsteam. • Bidrar till AI-styrning hos kund: ramverk, principer, säkerhet, dataskydd och ansvarsfull AI – inklusive efterlevnad av AI Act och GDPR. • Är teknisk mentor och kompetenshöjare – både i kundleveransen och internt hos oss. Skall-krav • Minst 8 års erfarenhet av lösnings-, system- eller dataarkitektur, varav minst 3 år med AI/ML-system i produktion. • Praktisk erfarenhet av att designa och bygga LLM-baserade lösningar (RAG, agenter, verktygsanrop, evaluering). • God förståelse för hela ML-livscykeln: dataflöden, träning/finjustering, deployment, monitorering och drift (MLOps). • Djup kunskap i minst en stor molnplattform (Azure, AWS eller GCP) och vana att integrera AI i större företagsmiljöer med befintliga system och behörighetsmodeller. • Erfarenhet av att leda tekniska vägval och föra dialog med både utvecklingsteam och beslutsfattare. • Programmeringserfarenhet i Python (eller motsvarande) – tillräcklig för att kunna granska kod och bygga prototyper. • Akademisk examen inom data, teknik, matematik, fysik eller motsvarande – eller likvärdig bakgrund. • Obehindrad svenska och engelska i tal och skrift. Bör-krav • Erfarenhet av AI-plattformar och ramverk som Azure AI Foundry, AWS Bedrock, Databricks, Snowflake Cortex eller Vertex AI. • Erfarenhet av agentiska ramverk (LangGraph, Microsoft Agent Framework, OpenAI Assistants, CrewAI eller liknande). • Erfarenhet av finjustering, modelloptimering eller utvärdering av öppna modeller (Llama, Mistral m.fl.). • Certifieringar inom cloud-arkitektur eller AI/ML (t.ex. Azure AI Engineer/Solutions Architect, AWS ML Specialty, GCP ML Engineer). • Erfarenhet av AI-styrning, säkerhet och dataskydd i AI-pipelines – inklusive ramverk för ansvarsfull AI och EU AI Act. • Erfarenhet av enterprise- eller lösningsarkitektur enligt TOGAF eller motsvarande. • Vana att mentorera och coacha andra arkitekter, utvecklare eller datavetare.

Qronos AB

Vi söker AI-utvecklare som vill vara med och bygga framtidens leveransteam Bli en del av Qronos – där teknik möter människan Om rollen Generativ AI håller på att förändra hur kod skrivs, hur tester genereras, hur kundservice fungerar och hur företag arbetar. Vi söker dig som vill vara en av de första AI-utvecklarna i vårt nya AI-Lab — bygga AI-native lösningar hos våra kunder inom bank, finans, försäkring och fintech, sida vid sida med seniora utvecklare som har levererat affärskritiska system i många år. I rollen får du: • Bygga agentiska AI-lösningar (LLM tool-use, function calling, orchestration) • Designa och implementera RAG-arkitekturer över verkliga företagsdata, med fokus på spårbarhet, kvalitet och regelefterlevnad. • Skapa eval-harnesses och kvalitetsstrukturer som gör AI-leveransen förutsägbar och driftsäker • Parprogrammera med seniorer i .NET/Azure och bidra med fräscha ögon och out-of-the-box-tänk där det behövs. • Vara med och forma både teknik och arbetssätt i ett labb som byggs upp från grunden. • Arbeta med ledande modeller (Claude, OpenAI, Azure OpenAI, Anthropic m.fl.) och moderna ramverk (LangChain, LangGraph, MCP, vector-databaser). Du förväntas ta ansvar för tekniska lösningar, identifiera svagheter och förbättra befintliga system. Du ska kunna leverera – inte bara delta. Vad vi söker För att trivas och lyckas i rollen ser vi gärna att du har: • 1–3 års erfarenhet av mjukvaruutveckling i någon modern stack (Python, C#/.NET, TypeScript/JavaScript, Go eller motsvarande). • Hands-on erfarenhet av minst en av: LLM-integrationer, RAG, prompt engineering, agentiska AI-flöden, eller AI-evals. Vi väger praktisk erfarenhet (sidoprojekt, hackathons, riktig produktion) tyngre än CV-rader. • En grundläggande molnvana — Azure, AWS eller GCP. • Databas och SQL • Versionshantering (Git), CI/CD och grundläggande DevOps-tänk. • Förståelse för agila arbetssätt (Scrum, Kanban) och vana att arbeta i tvärfunktionella team. • Flytande svenska och engelska. Ytterligare språk som franska och tyska är meriterande. Extra plus om du • Har bidragit till AI/ML i produktion — eller har ett substantiellt sidoprojekt vi kan titta på. • Har erfarenhet av .NET 8, C#, Azure (Cosmos DB, Azure OpenAI, Azure AI Search, Azure DevOps) — många av våra bank-uppdrag är där. • Har jobbat med vector-databaser (FAISS, pgvector, Cosmos DB vector, Pinecone, Weaviate) eller hybrid-retrieval-mönster. • Har erfarenhet av MCP, LangGraph, eller andra agentic-frameworks. • Har testautomations-vana (Robot Framework, Cypress, xUnit, pytest) — bonus om du sett hur AI-agenter kan generera tester. • Har använt eval-frameworks (LangSmith, Arize, Helicone, eller egenbyggt) för att mäta modell- och agent-kvalitet. • Har bakgrund från reglerade branscher (bank, försäkring, fintech) och förstår varför auditerbarhet och spårbarhet är icke-förhandlingsbart. • Har bidragit till open source eller skrivit/talat publikt om AI. Om dig Du är nyfiken på vad AI faktiskt kan göra och har redan gjort något konkret med det. Kanske ett sidoprojekt med ett LLM-API, en RAG-prototyp över egna anteckningar, eller en agent som löser ett verkligt problem. Du tar dig framåt på egen hand när dokumentationen tar slut, men trivs lika bra med att par-programmera med seniorer som har sett system från andra hållet. Du tänker både i pixlar och i affärsvärde. Du förstår att en bra AI-lösning är en där vi vet hur den fungerar, varför den ger rätt svar, och hur vi mäter om den blir bättre eller sämre över tid. "Det funkade i demon" är inte en deploy-strategi. Du är fri från "så har vi alltid gjort"-tänk. Du har fräscha ögon, men du skriver också ren, testbar kod som dina kollegor kan underhålla. Du är öppen, ödmjuk och bidrar med energi i teamet. Om Qronos Qronos är din betrodda partner inom IT-konsulttjänster, specialiserat på mjukvaruutveckling, kvalitet och agilt ledarskap. Vi erbjuder en omfattande portfölj av tjänster som sträcker sig från tech-startups till stora företag. Vår styrka ligger i människor – vi kopplar samman kunder med rätt kompetens från vårt stora nätverk av experter. Med konsulter baserade i Malmö och en multi-industry delivery erbjuder vi ett jordnära och ödmjukt arbetssätt, kundfokus samt nyfikenhet och öppenhet. Vi bygger nu upp ett dedikerat AI-Lab med fokus på generativ AI för bank- och finanskunder i Norden och Europa. Du blir en av de första in. Hos oss får du: • Vara del av vårt nya AI-Lab — bygga AI-leveranser åt europeiska banker från dag ett. • Senior coachning från utvecklare och specialister som har levererat i bank/finans i många år. • En miljö där juniora och seniora bygger tillsammans — parprogramming, mentorskap, och konkret kompetensutveckling. • Stöd i din konsultresa — vi tror på lärande genom verkliga uppdrag. • En inkluderande kultur där vi värnar om både prestation och trivsel. • Snabba beslutsvägar och nära dialog med ledningen. • Ett starkt team med skandinavisk arbetskultur, pålitlighet och kommunikation i fokus. Ansök nu! Skicka ditt CV och en kort motivering till jobb@qronos.se. Vi vill också gärna se något konkret du har byggt med AI — en GitHub-länk, en demo-video, en blogg-post, eller en kort beskrivning av ett produktion-system du bidragit till. Vi går igenom ansökningar löpande och ser fram emot att lära känna dig. Notera att vi undanber oss kontakt från annonssäljare och rekryteringsbolag! Notera att vi undanber oss kontakt från annonssäljare och rekryteringsbolag!

Modulai AB

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it. Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects. MACHINE LEARNING ENGINEER As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central. You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains. We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us. Our Stack Python / R – standard open-source libraries Scikit-learn and various specialized Python and R ML libraries Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI Cloud platforms such as AWS, GCP, and Azure CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML, Relational database management systems MLOps and LLMOps tools for model deployment and monitoring. Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes) Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform Responsibilities Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client Preprocessing, feature engineering, and dataset creation ML and LLM model development, fine-tuning, and evaluation Validation of results and model interpretability Building and optimizing data pipelines and ML/LLM infrastructure Developing APIs and integrating ML models into production systems Ensuring scalability, monitoring, and performance optimization of deployed models Background & Skills MSc or Ph.D. in a quantitative field Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs Strong software development skills in Python and experience with software engineering best practices Experience deploying ML and LLM models into production environments A passion for lean, clean, and maintainable code The desire to grow and to share insights with others Helpful Knowledge Deep learning frameworks and transformer-based architectures LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) Data pipelining and ML/LLM infrastructure best practices DevOps experience, CI/CD, Kubernetes, and serverless architectures Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications About Team Modulai At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working. Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it! Apply here: https://modulai.teamtailor.com/

Catena

HEAD OF APPLIED AI Catena Labs is building the first AI-native financial institution to provide the new financial infrastructure and services AI systems need to conduct commerce. We’re giving AI agents the tools to identify themselves and use money safely and efficiently. At the same time, we’re providing businesses with a trusted, licensed financial partner with the capability to manage risk and compliance. By building a financial institution with AI and stablecoin infrastructure, we are breaking down the legacy financial system barriers that prevent an AI-driven economy. Backed by leading venture investors, we’re assembling a team of engineers, designers, data scientists, and finance professionals working together to build a stronger, more resilient global economy that creates broad prosperity. We’re looking for people with the talent, curiosity, and passion to invent an entirely new category of financial services. THE ROLE We're looking for a Head of Applied AI to lead our AI Platform team. This role combines AI engineering and data science. You'll build systems directly while setting technical direction for how AI works across Catena, both in our products and our operations. The AI Platform team sits alongside Product Development and Banking Core, and reports to the CTO. You'll own the tools, models, frameworks, and eval processes we use internally and within our products. Product Development relies on your team's capabilities, and you'll ensure AI integrates reliably with Banking Core via APIs, MCP, and other interfaces. You'll also build AI tools that make the company itself more effective. This spans product AI (agent interactions, identity, risk), operational AI (compliance workflows, automation), and corporate AI (how the team works with AI daily). We care more about good judgment on what to build than rigid adherence to categories. Initially, this is an 80/20 maker/manager role. You'll build on an existing foundation while growing the team. WHAT YOU'LL DO * Own the orchestration layer connecting product experiences to banking infrastructure * Establish eval frameworks that prove our agents are reliable * Stay ahead of emerging agent protocols (A2A, x402, MCP, LangGraph) and integrate where it strengthens our infrastructure * Partner closely with Product Development and Banking Core to ensure AI capabilities are deeply integrated * Hire and develop AI engineers and data scientists as the team grows WHO YOU ARE * Deep experience shipping production AI systems, whether that's a decade in ML or fewer years with intensive focus on the current LLM paradigm * You build things directly. You're not looking for a role where you manage without coding. * Strong intuition for model selection, eval methodology, and build-vs-buy tradeoffs * Security-minded. You understand prompt injection, adversarial inputs, and why these matter more when money is involved. * Comfortable with ambiguity, able to set direction while shipping TECH STACK We work primarily in Python and TypeScript, deploy on AWS and CloudFlare, and use multiple models. You'll have opinions on this stack and the latitude to evolve it. NICE TO HAVE * Experience in fintech, payments, or regulated financial services * Hands-on work with agent orchestration frameworks * Background in compliance or risk systems where auditability matters JOIN US If you're passionate about pushing the boundaries of what AI agents can do in financial services and want to be part of building the trusted financial infrastructure for the agentic economy, we want to hear from you. You'll have the opportunity to work on challenging problems that have never been solved before, with a team that's defining an entirely new category of financial services. This is more than a job; it's a chance to be part of the startup team that makes the AI economy possible. Your work will directly enable millions of AI agents to participate safely in commerce, unlocking trillions in economic value and increasing prosperity around the world.

Storytel

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world's leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. Driven by our purpose, "Leading the future of storytelling, we move the world through stories", Storytel Group inspires and entertains people around the world by blending innovation with tradition. We bring stories to life across various formats for everyone to discover. Anytime. Anywhere. Ready for your next chapter? We're looking for a Senior Platform Engineer to join our Platform Engineering team! About the Team The Platform Engineering team focuses on setting up, operating and redefining observability, infrastructure, CI/CD, runtime, Machine Learning and AI agentic tooling at Storytel. We apply software engineering principles to accelerate software delivery and ensure that application development teams are productive in all aspects of the software delivery lifecycle. We aim to design and build toolchains and workflows covering the operational necessities of the entire lifecycle of an application and to enable that as self-service for our teams. This means providing paved roads that make it easy for our application developers to focus on building a great experience for our users. We support the teams in making the most of our platform's capabilities and in providing best-practices knowledge. Our team's expertise is very diverse, varying from cloud infrastructure, through security, to development tools, ML platform tooling, AI and more. About the Role Take the next step in your career as a Senior Platform Engineer at Storytel! At Storytel, engineers are viewed as leaders within the Individual Contributor roles, aiming to create impact and drive initiatives to bring our audio entertainment service to millions of users. As a senior member of the Platform team, you will design, build and maintain the toolchains and workflows that help our teams manage the full life-cycle of their systems – including tools, libraries for our common languages, templates, automation, and configurations. You'll work across observability, deployment pipelines, quality assurance, availability, the runtime platform. A key focus of this role is our ML platform capabilities. With AI and LLMs becoming a strategic part of how Storytel builds product experiences we need someone who can shape the paved road for ML workloads on Google Cloud and Vertex AI – making it easy for product teams to develop, deploy, and operate ML-powered features safely and reliably. Python is the lingua franca of this space and a key language for the role. You'll also coach and unblock developers in their daily work, help them get the most out of the platform, and lead initiatives that improve developer experience across the organisation. You will work with technologies including Metaflow, Argo Workflows, Argo Events, ArgoCD, Kargo, GitHub, GitHub Actions, Grafana, Prometheus, Kubernetes, Google Cloud Platform (including Vertex AI), Infrastructure as Code (Terraform, Atlantis), Fastly, and more. About You To be successful in this role, we believe that you have: * A platform engineering mindset. You understand that the job is about empowering other engineers to do their absolute best work, and you measure your success by their productivity and happiness. * A software engineer's perspective. You've been in the shoes of an application developer and you understand the friction, the trade-offs, and the long feedback loops engineers deal with every day. * Significant hands-on experience with ML on Google Cloud, and specifically Vertex AI – building, deploying, or operating ML workloads, pipelines, or platform capabilities that other teams build on top of. Strong Python skills in this context are expected. * A deep care for developer experience. You believe that good DX has a direct, positive impact on team morale, delivery speed, and product quality – and you can point to things you've built that prove it. * Strong long-term thinking on architecture. You weigh the maintenance cost of every decision and prefer boring, durable solutions over clever ones that someone else will have to live with. * Pragmatic ambition. You have high standards and a vision for where the platform should go, but you also understand the constraints of working in a small organisation and know how to ship value incrementally. * At least 5 years of professional software engineering experience, with solid hands-on development skills.. * Strong experience with container technologies, Kubernetes, and distributed systems in production. * Strong experience with a major cloud provider – ideally Google Cloud Platform. * Experience working in DevEx-adjacent areas such as deployment pipelines, observability and monitoring, quality assurance, automation, self-service tooling, or runtime platforms. * An ability to communicate fluently in English (written and spoken) and to collaborate effectively across teams – this role does not work in isolation. Bonus points for experience or interest in: * Building internal developer platforms (IDPs), golden paths, and self-service tooling * MLOps tooling and patterns – feature stores, model registries, evaluation pipelines, online/offline serving * Building AI agents – hands-on experience designing, building, or productionising agentic systems (e.g. with frameworks like ADK, LangGraph, or similar), including tool use, orchestration patterns, evaluation, and operating agents reliably in production * LLM application infrastructure – prompt management, evaluation, observability, guardrails * Infrastructure-as-code and configuration management at scale * Working with databases – MySQL, Postgres, etc. * Linux/Unix internals Join a world of stories At Storytel, we're a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you're all set.

OnePartnerGroup Norr AB

Agio System och Kompetens i Skandinavien AB är ett Luleåbaserat IT‑ och konsultföretag som sedan starten 2003 har specialiserat sig på digitalisering, systemutveckling och verksamhetsutveckling. Bolaget arbetar brett inom offentlig sektor, industri, regioner och kommuner. Deras tjänster omfattar bland annat systemutveckling, digital transformation, automation samt data- och beslutsstöds­lösningar. Agio fokuserar på långsiktiga kundrelationer och bygger sin verksamhet på värdegrundens tre nycklar: engagemang, kunskap och ansvar. Företaget är ISO 14001‑certifierat och arbetar aktivt med hållbarhet, bland annat genom klimatkompensation och interna miljöinitiativ. Agio har en stark närvaro i Norrbotten och är en betydande aktör i regionens teknikutveckling. Vill du arbeta med AI, prediktiva modeller och datadriven utveckling i projekt som gör skillnad på riktigt? På Agio får du kombinera teknik, analys och innovation i uppdrag som spänner över allt från brottsbekämpning till smartare vårdinformation.    Vi söker nu erfarna Data Scientists med AI-kompetens till våra team i Luleå. Du väljer själv vilken ort du vill utgå ifrån.  Om rollen Som Data Scientist på Agio hjälper du våra kunder att ta nästa steg i sin digitala resa. Du arbetar med: Avancerad dataanalys och AI/ML-modeller Prediktiva modeller och statistiska analyser Automation, smarta dataflöden och beslutsstöd Identifikation av nya insikter som skapar direkt verksamhetsnytta   Du blir en viktig del i att hjälpa organisationer att utnyttja digitaliseringens möjligheter, från effektivisering till helt nya arbetssätt. Vi tror att du har erfarenhet av: Minst 4 års arbete som Data Scientist, dataanalytiker eller inom AI/ML-roller AI/ML-modeller såsom prediktion, klassificering och klustring Python eller R (gärna med bibliotek som scikit-learn, pandas/polars, TensorFlow, PyTorch, XGBoost) Datavisualisering med Matplotlib, Seaborn eller BI-verktyg som Power BI Versionshantering (Git) och containerteknik (Docker) API-integrationer och arbete med data från flera olika källor Svenska i tal och skrift   Meriterande om du även har: Kunskap om informationssäkerhet, GDPR och etisk AI Erfarenhet av Azure, AWS eller andra molntjänster Vana av RAG-lösningar, agenter och ramverk som LangChain, LangGraph eller LlamaIndex Teamet du blir en del av Du hamnar i vårt affärsområde Dataanalys och BI – ett team med BI- och AI-specialister som delar passionen för att skapa värde med data. Vi jobbar Microsoftorienterat och finns både i Luleå. Här får du vara med och påverka framtidens datadrivna beslut i Sverige. Varför Agio? Agio erbjuder dig: Trygghet genom kollektivavtal och stabila kundrelationer En arbetsplats som värnar om balans i livet En personlig kompetensresa där du får utvecklas i din riktning En platt organisation där du får stort inflytande Ett företag som satsar långsiktigt både på dig och våra kunder Låter det intressant? Agio samarbetar tillsammans med OnePartnerGroup i denna rekryteringsprocess och urval kan komma att ske löpande så tveka inte med att skicka in din ansökan. Har du frågor om tjänsten eller rekryteringsprocessen är du varmt välkommen att kontakta: Peter Nilsson Sandlund, 070 549 94 82 eller peter.nilsson.sandlund@onepartnergroup.se  Vi ser fram emot att höra från dig!

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are seeking an independent Senior Software Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle. egrity of our environments. What you'll be doing * Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities. * Architect and develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions. * Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features. * Lead the design and delivery of complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability. * Develop and refine prompt engineering strategies, grounding approaches, and AI interaction patterns that improve the quality, relevance, and safety of customer-facing AI experiences. * Design and implement resilient APIs, event-driven integrations, and backend services that connect Salesforce, AWS platforms, internal systems, and external applications. * Drive engineering excellence through strong CI/CD practices, using GitHub, Gearset, and deployment automation to support reliable and efficient releases. * Champion observability, operational excellence, and production support practices to ensure enterprise-grade reliability, performance, and supportability of customer-facing systems and AI services. * Mentor junior and mid-level engineers through technical guidance, code reviews, design reviews, and hands-on collaboration, raising the bar on engineering quality across the team. * Lead technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution. * Partner closely with product managers, designers, architects, security, data, and infrastructure teams to ensure solutions are aligned, secure, reliable, and enterprise-ready. * Collaborate effectively in a Scrum-based Agile environment, using Jira and Confluence to drive execution, document decisions, and maintain delivery transparency. * Evaluate emerging AI/ML technologies, frameworks, and engineering patterns, and apply them pragmatically to improve customer experience and operational efficiency.   What you'll bring to the role * 5+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems. * Strong expertise in backend and application development using Python or Java, JavaScrip or TypeScript, with the ability to build production-grade, scalable software systems. * Strong experience designing and building cloud-native solutions on AWS, including services such as Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security. * Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks. * Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns. * Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture. * Experience building and supporting CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset. * Ability to lead architecture discussions, influence technical strategy, and make sound engineering decisions across multiple systems and stakeholders. * Demonstrated experience mentoring engineers and helping teams improve engineering practices, technical quality, and delivery maturity. * Strong working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution. * Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences. Nice to have * Deep hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows. * Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications. * Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior. * Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection. * Experience with containerization and orchestration technologies such as Docker and Kubernetes . * Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures. * Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements. What we value * Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team. * Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence. * AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies. * Ownership mindset, taking responsibility from idea to implementation to operational success. * Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions. * Customer focus, with the ability to connect technical solutions to better customer and business outcomes. Why join us * Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology. * Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience. * Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms. * Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies. * Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform. #LI-Remote P24733_3364841 Below is the annual salary range for candidates located in Poland. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/pol. The annual base salary range for this position for candidates located in Poland is between: 225 000 zł—330 000 zł PLN The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Betsson

Our Sportsbook AI/ML Team is looking for a Senior AI Engineer to make a difference in the design and further development of AI and Machine Learning solutions for both internal and external business needs. We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning many Tech Hubs. THE WOW From Architecture to Trading teams, our Sportsbook is an in-house platform that also hosts brand offerings for customers. From the tools traders use to the cutting-edge features available for betting on various sports, these teams are the backbone making it all possible. The goal is to deliver top performance, functionality, and user experience in the iGaming industry. As part of our Sportsbook tech team, a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.   A TASTER OF WHAT YOU WILL BE INVOLVED WITH:  * Maintaining and evolving our AI/ML projects using Python * Build design Agentic LLM based solutions and maintain/improve existing ones * Ensure output quality by verifying consistency and accuracy * Investigate, assess, and develop cloud based MCP solutions * Comfortable working under Agile Framework (Scrum 2-week iterations) * Have an investigative mindset to be able to troubleshoot and being creative when it comes to troubleshooting problems and incident management * Document necessary processes and procedures (creating KBs, runbooks, topology etc) * Taking full ownership of projects and tasks with being able to work within the team * Work closely with stakeholders to deliver accurate and timely insights to our business partners   WHAT WE ARE LOOKING FOR * Solid experience with Python and OOP * Experience with tools like Langchain, Langraph, Langsmith, FastAPI, Opensearch, Redis/Valkey, Pandas, Pytorch, spacy * Confident with LLMs and their evaluation practices and knowing /having some background on AI agentic tools, skills, workflows * Demonstrated experience with RAG systems, Vector embeddings, knowledge graphs * Confident with Amazon Web Services or similar cloud environments and having some experience with MLOps * Familiar with software versioning tools like Git * Additional programming skills, Prompt Engineering will be a plus * Experience in sportsbook/betting or fintech sectors is considered a plus * Continuous learning mindset * Can effectively prioritize and handle multiple tasks and projects * Excellent verbal and written English communication skills   WHAT WE OFFER * Fitness-wellness allowance  🧗‍♂️ * Company mobile phone for private use with 100 GB  📱 * Annual HUF devaluation compensation  💡 * Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠 * Private Health Insurance  🩺 * Career development  📈 * Technical and soft-skill training opportunities 🎓 * Breakfast, fruits & lunch 🍎 * Team building events  🥳     CHALLENGE ACCEPTED? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Betsson

Our Sportsbook AI/ML Team is looking for a Senior AI Engineer to make a difference in the design and further development of AI and Machine Learning solutions for both internal and external business needs. We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning many Tech Hubs. THE WOW From Architecture to Trading teams, our Sportsbook is an in-house platform that also hosts brand offerings for customers. From the tools traders use to the cutting-edge features available for betting on various sports, these teams are the backbone making it all possible. The goal is to deliver top performance, functionality, and user experience in the iGaming industry. As part of our Sportsbook tech team, a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.   A TASTER OF WHAT YOU WILL BE INVOLVED WITH:  * Maintaining and evolving our AI/ML projects using Python * Build design Agentic LLM based solutions and maintain/improve existing ones * Ensure output quality by verifying consistency and accuracy * Investigate, assess, and develop cloud based MCP solutions * Comfortable working under Agile Framework (Scrum 2-week iterations) * Have an investigative mindset to be able to troubleshoot and being creative when it comes to troubleshooting problems and incident management * Document necessary processes and procedures (creating KBs, runbooks, topology etc) * Taking full ownership of projects and tasks with being able to work within the team * Work closely with stakeholders to deliver accurate and timely insights to our business partners   WHAT WE ARE LOOKING FOR * Solid experience with Python and OOP * Experience with tools like Langchain, Langraph, Langsmith, FastAPI, Opensearch, Redis/Valkey, Pandas, Pytorch, spacy * Confident with LLMs and their evaluation practices and knowing /having some background on AI agentic tools, skills, workflows * Demonstrated experience with RAG systems, Vector embeddings, knowledge graphs * Confident with Amazon Web Services or similar cloud environments and having some experience with MLOps * Familiar with software versioning tools like Git * Additional programming skills, Prompt Engineering will be a plus * Experience in sportsbook/betting or fintech sectors is considered a plus * Continuous learning mindset * Can effectively prioritize and handle multiple tasks and projects * Excellent verbal and written English communication skills   WHAT WE OFFER   * Monthly Allowance for Lunch * Private & Life Plan Insurance for you and your family * Team Building Budget * Annual Wellness Allowance * Corporate Travel Insurance * Events and initiatives both Local (Quarterly Meetings) and Global * Professional Development Programs & Internal Career Opportunities * Milestone Birthday Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1900 strong, spread across 7 offices! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and always striving to push the boundaries and challenge yourself, then you’ll fit right in. We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world.   CHALLENGE ACCEPTED? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Betsson

Our Sportsbook AI/ML Team is looking for a Senior AI Engineer to make a difference in the design and further development of AI and Machine Learning solutions for both internal and external business needs. We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning many Tech Hubs. THE WOW From Architecture to Trading teams, our Sportsbook is an in-house platform that also hosts brand offerings for customers. From the tools traders use to the cutting-edge features available for betting on various sports, these teams are the backbone making it all possible. The goal is to deliver top performance, functionality, and user experience in the iGaming industry. As part of our Sportsbook tech team, a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.   A TASTER OF WHAT YOU WILL BE INVOLVED WITH:  * Maintaining and evolving our AI/ML projects using Python * Build design Agentic LLM based solutions and maintain/improve existing ones * Ensure output quality by verifying consistency and accuracy * Investigate, assess, and develop cloud based MCP solutions * Comfortable working under Agile Framework (Scrum 2-week iterations) * Have an investigative mindset to be able to troubleshoot and being creative when it comes to troubleshooting problems and incident management * Document necessary processes and procedures (creating KBs, runbooks, topology etc) * Taking full ownership of projects and tasks with being able to work within the team * Work closely with stakeholders to deliver accurate and timely insights to our business partners   WHAT WE ARE LOOKING FOR * Solid experience with Python and OOP * Experience with tools like Langchain, Langraph, Langsmith, FastAPI, Opensearch, Redis/Valkey, Pandas, Pytorch, spacy * Confident with LLMs and their evaluation practices and knowing /having some background on AI agentic tools, skills, workflows * Demonstrated experience with RAG systems, Vector embeddings, knowledge graphs * Confident with Amazon Web Services or similar cloud environments and having some experience with MLOps * Familiar with software versioning tools like Git * Additional programming skills, Prompt Engineering will be a plus * Experience in sportsbook/betting or fintech sectors is considered a plus * Continuous learning mindset * Can effectively prioritize and handle multiple tasks and projects * Excellent verbal and written English communication skills WHAT WE OFFER   Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. At Betsson Group we work with a Hybrid Work From Home (WFH) model, giving you the flexibility of working 3 days in the office (Monday, Wednesday, Friday) and 2 days from home. We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world.     CHALLENGE ACCEPTED? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy