As aSenior AI Engineerat mama health, you will build and own the core AI systems powering our product — from patient-facing experiences to our Pharma Platform. You will:
Design and ship production-grade AI systems:Build scalable LLM-based systems, including workflow agents and multi-agent architectures, that run reliably in real-world environments.
Own AI features end-to-end:Take responsibility from idea → prototype → evaluation → production, with a strong focus on quality, reliability, and impact.
Build robust RAG pipelines:Implement retrieval systems using embeddings, vector databases, and structured data to ensure grounded, high-quality outputs.
Develop intelligent patient-facing features:Create systems that turn unstructured patient data into personalized insights and health reports.
Drive evaluation and quality:Build and iterate on evaluation frameworks for LLM outputs, retrieval quality, and agent performance.
Collaborate cross-functionally:Work closely with product, data, and domain experts to translate real healthcare problems into effective AI solutions.
Optimize for performance and scale:Improve latency, cost-efficiency, and robustness of AI systems in production.
Your profile
Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Strong experience building LLM-based applications in production
Excellent Python skills
Hands-on experience with:
RAG systems, embeddings, and vector databases
Prompt engineering and structured outputs
At least one major LLM framework (e.g. LangChain, LangGraph, LlamaIndex)
Experience with agent-based systems (e.g. Autogen, CrewAI, or similar)
Experience with LLM evaluation or search quality is a strong plus
Familiarity with AWS, GCP, or Azure
You are execution-focused and pragmatic — you ship and iterate quickly
You’re comfortable working in ambiguity and fast-paced environments
Why us?
A compelling product with real edge: mama health is building an AI-driven platform grounded in real patient experiences — highly differentiated and solving real problems in healthcare
Cutting-edge challenges: Work on real LLM, RAG, and agent systems in production — not just prototypes
High ownership: You’ll shape core parts of the product and how we build AI systems as a company
Strong market pull: Work with leading pharma companies on high-impact use cases
Ownership and growth: Fast learning curve, real responsibility, and the chance to define our AI stack
Competitive package: Salary + equity
Berlin-based team: Full in-office collaboration
Perks: Team events, offsites, Wolt dinners & rides home when working late
