kaiko.ai is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics. The company is looking for a Senior ML Engineer to join their ML Engineering team to design, ship, and evaluate the harness components that make their agentic system safe and effective.
Requirements
- Strong Python skills and solid Git collaboration experience (PRs, branching, code review)
- Experience building LLM-driven features such as prompt and context design, RAG-based retrieval and grounding, tool use, and practical failure handling
- Experience building agents with a clear view of what makes them succeed or fail including state management, planning and execution tradeoffs, tool reliability, and guardrails
- Experience with at least one agentic framework such as LangChain, AutoGen, or similar. Or experience building custom production-ready agentic systems
- Strong ML foundation with particular strength in transformers and how LLMs and VLMs behave in practice including capabilities, limitations, and evaluation
- Experience designing evaluation for LLM and agentic systems including deterministic test suites, scenario-based evaluations, and rubric-based or LLM-as-judge approaches
- Clear communicator comfortable with design discussions, code review, and cross-functional collaboration
Benefits
- Attractive and competitive salary
- Good pension plan
- 25 vacation days per year
- Great offsites and team events
- EUR 1000 learning and development budget
- Autonomy to do your work the way that works best for you
- Annual commuting subsidy