AI Developer
Xenit AB
full-time
Posted on:
Location Type: Hybrid
Location: Malmö • Sweden
Visit company websiteExplore more
About the role
- We are looking for an AI Developer who wants to build production-grade AI applications that solve real business problems, and help customers understand how AI can create sustainable value .
- In this role, you will design, build, and evolve AI-driven applications and agents, while contributing to architectural decisions and guiding solution direction.
- You will work closely with business stakeholders and translate needs into scalable, secure and maintainable AI solutions.
- Design and build production-grade AI applications and agents using Python and modern orchestration frameworks such as LangChain , Microsoft 365 Agents SDK , or similar tooling.
- Implement retrieval-augmented generation (RAG) pipelines , embedding workflows, vector search integrations, and structured context management for enterprise use cases.
- Develop full-stack components (APIs, services, UI layers) that operationalize AI capabilities and integrate them into real business workflows.
- Design scalable AI architectures on Azure , leveraging Azure AI Foundry for model hosting, evaluation flows, experimentation, monitoring, and lifecycle management.
- Implement observability, evaluation, and guardrail mechanisms for LLM-driven systems - ensuring reliability, traceability, and responsible AI usage in production environments.
- Engage with stakeholders to define use cases, assess feasibility, and translate business challenges into technical architectures.
- Evaluate solution approaches from both a technical and business perspective, ensuring AI is used where it creates real impact and not where simpler architectures are preferable.
Requirements
- Good experience working in customer-facing projects , where technical decisions are shaped by business priorities and constraints.
- Several years of experience in software engineering , with hands-on delivery of production systems.
- Practical experience building AI-driven applications using Python and modern LLM frameworks (e.g., LangChain, Semantic Kernel, Agents SDK or equivalent orchestration tooling).
- Strong understanding of RAG patterns , embeddings, vector databases, prompt engineering, evaluation strategies, and model selection trade-offs.
- Experience in back-end or full-stack development, sufficient to build supporting APIs, services, or user interfaces for AI applications.
- Experience working in enterprise environments with high requirements for security, governance, compliance, and architectural clarity.
- It is a bonus if you have: Experience with Azure: Azure AI Foundry, Azure Functions, Azure AI Search, or related services.
- Experience implementing monitoring, evaluation, or guardrail strategies for LLM systems.
- Experience in architectural or advisory roles , especially in consulting environments where you have guided customers in technical decision-making.
Benefits
- Xenit boasts a large benefits package, read full list here .
- Super interesting colleagues 🎉 With us you will find spinning instructors, parkour practitioners, gamers, art historians, rugby players, puzzle maniacs, film geeks and much more. With us, you are free to be who you are.
- Each quarter, we host Xenit Inspire where employees are able to share specialist knowledge, information about cool projects, and take part in tasks centered around innovation - workshops and hackathons.
- We also offer annual conferences, team building, after works, and "Bring a Buddy" lunches at the office.
- Xenit was awarded "Career Company" in both 2024 and 2025. This prestigious recognition underscores our commitment to fostering a workplace culture that values inclusivity, well-being, and growth.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI applicationsRAG pipelinesembedding workflowsvector search integrationsfull-stack developmentAPIsUI layersmodel selectionprompt engineering
Soft Skills
customer-facing projectsstakeholder engagementtechnical decision-makingbusiness prioritizationsolution directionarchitectural clarityfeasibility assessmentcommunicationcollaborationadvisory roles