Senior AI Engineer
Location
Berlin, Germany
Work type
Onsite
Employment
Full Time
Experience
5-10 years
Compensation
Compensation not disclosed
Posted
1h ago
Summary and responsibilities
Role overview
Summary
As a Senior AI Engineer at mama health, you will be responsible for designing, building, and owning core production-grade AI systems, including LLM-based workflow agents and robust RAG pipelines. This role involves end-to-end ownership of AI features, from prototyping to production, with a strong focus on quality, reliability, and impact in the healthcare domain.
Your mission
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
Updated 1h ago
Candidate fit
Skills and qualifications
Additional skills
Experience
5-10 years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
mama health
Team size
Growing team
Location
Berlin, Germany
mama health's mission is to build the largest healthcare data platform, offering a Patient App for chronic patients to find answers and a Patient Journey Analytics Platform for healthcare providers to improve patient care. The company focuses on an entrepreneurial spirit, results-driven culture, and inclusive values, building a diverse team with medical, technical, and business expertise.
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Senior AI Engineer
Berlin, Germany • Full Time