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    mamahealth

    Senior AI Engineer – Berlin (On-Site)

    mamahealth
    Berlinover 1 year ago
    Data & AI
    AI Engineering
    Senior
    Onsite

    Summary

    As a Senior AI Engineer at mama health, you will build and own core AI systems for their AI-driven healthtech platform. This role requires strong experience in production-grade LLM-based systems, RAG pipelines, and Python. You will drive end-to-end AI feature development and collaborate cross-functionally to solve real healthcare problems.

    Location
    Berlin
    Type
    full-time
    Level
    Senior
    Work mode
    onsite

    Your mission

    (This role requires you to be based in Berlin)


    As a Senior AI Engineer at 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)
    • Solid engineering fundamentals: clean code, testing, CI/CD, Docker
    • 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

    Senior AI Engineer – Berlin (On-Site)

    mamahealth · Berlin

    Apply for this role

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