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mama health

Senior AI Engineer – Berlin (On-Site)

BerlinexperiencedpermanentPosted 18 months agoNo German requiredOnsiteAWSAzureDockerGCPLangChainPython
Job description

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
Evidence from the posting
No German required
The job description is entirely in English with no mention of German language requirements. The role is described as a technical AI engineering position with requirements focused on programming skills, LLM frameworks, and cloud platforms. There is no indication that German language ability is needed to perform the job, interact with German-speaking colleagues, serve German customers, or manage German-language systems. The on-site Berlin requirement does not imply German is necessary.
Onsite
in-office
Tech stack
Python · AWS · GCP · Azure · Docker · LangChain
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