Senior AI Engineer

As a Senior AI Engineer at mama health you will design and ship production-grade AI systems, including LLM-based workflows and multi-agent architectures, that run reliably in real-world environments. You will own AI features end-to-end from conception through production deployment, build robust RAG pipelines leveraging embeddings and vector databases, and develop patient-facing features that transform unstructured health data into personalized insights. You will drive evaluation and quality through LLM output assessment frameworks, collaborate cross-functionally with product and domain experts, and optimize AI systems for latency, cost, and reliability.

Your profile: Bachelor's or Master's in Computer Science, Data Science, or a related field; production experience with LLM-based applications; strong Python proficiency; hands-on expertise with RAG systems, embeddings, vector databases, and prompt engineering; experience with at least one major LLM framework (e.g. LangChain, LangGraph, LlamaIndex); experience with agent-based systems (e.g. Autogen, CrewAI, or similar); solid engineering fundamentals (clean code, testing, CI/CD, Docker); and an execution-focused mindset for fast iteration. LLM evaluation or search quality experience and AWS/GCP/Azure familiarity are a plus.

Why join: a compelling product with real edge addressing genuine healthcare problems; production-level AI/RAG/agent challenges (not prototypes); high ownership of core product components; competitive salary plus equity; and a Berlin-based in-office team. mama health operates two products: a patient app using multi-agent systems for chronic disease support, and an analytics platform tracking patient journeys.