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AI Engineer

  • På plats
  • Sverige
  • Engelska
  • Publicerad 29.09.26 14:31

We're looking for an AI Engineer to join our Malmö consulting team. You'll be part of a small, ambitious group working on applications end-to-end, from frontend, backend, pipelines and model development to deployment in cloud environments.Most of what we build integrates AI technologies in some way, whether that's embedding machine learning models, leveraging large language models, or building systems around state-of-the-art AI tools.This is a great role if you want to grow your skills across the stack while working hands-on with modern tech in real production environments. ResponsibilitiesYour work would include:Work as a consultant on client assignments, often embedded in the client's teamTranslate client needs into concrete AI system requirementsDesign and build agentic systems: tool use, retrieval (RAG), MCP integrations and multi-step workflowsFine-tune, adapt and evaluate LLMs and other foundation models, and train custom models when neededBuild eval suites and observability so model quality is measured, not guessedTake models to production: APIs, deployment, and optimization of inference cost and latencyDesign data pipelines for training, inference and monitoringUse agentic coding tools (e.g. Claude Code, Cursor, Codex) to ship faster, while owning quality, tests and reviewWork closely with clients and internal teams, and share what you learn Background and SkillsHere's what we're looking for in an ideal candidate:Strong Python skills and experience with ML frameworksHands-on experience building LLM-based applications, ideally agents, RAG or tool-calling systemsProficiency with agentic coding workflows: breaking work down for agents, reviewing their output critically, and setting up repos, tests and context so agents do their best workExperience evaluating LLM systems: designing evals, spotting failure modes and iterating based on dataSolid software engineering: version control, testing, CI/CD, code reviewComfort in cloud environments (GCP, AWS or Azure)MSc in a quantitative field (e.g. computer science, engineering physics, mathematics or statistics) and at least 2 years of relevant professional experienceProfessional proficiency in Swedish and English