Senior AI Engineer – Berlin (On-Site)

Stellenbeschreibung:

Your mission

(This role requires you to be based in Berlin) 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)
  • 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

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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Apr 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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