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Building LLM-based AI systems and workflow agents for a patient-experience platform. Production LLM application development and RAG systems experience required. Team events, offsites, and Wolt dinners.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Strong experience building LLM-based applications in production
- Excellent Python skills
- RAG systems experience
- Embeddings experience
- Vector databases experience
- Prompt engineering experience
- Structured outputs experience
- Experience with 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
- Execution-focused and pragmatic
- Comfortable working in ambiguity and fast-paced environments
Tasks
- Design and build production-grade AI systems
- Develop scalable LLM-based systems
- Implement workflow agents and multi-agent architectures
- Own AI features from idea to production
- Focus on quality, reliability, and impact
- Build robust RAG pipelines
- Implement retrieval systems using embeddings
- Use vector databases and structured data
- Develop intelligent patient-facing features
- Transform unstructured patient data into insights
- Create personalized health reports
- Drive evaluation and quality
- Build evaluation frameworks for LLM outputs
- Evaluate retrieval quality and agent performance
- Collaborate with product, data, and domain experts
- Translate healthcare problems into AI solutions
- Optimize AI system performance
- Improve latency and cost-efficiency
- Enhance system robustness in production
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- RAG systems
- embeddings
- vector databases
- Prompt engineering
- structured outputs
- LangChain
- LangGraph
- LlamaIndex
- Autogen
- CrewAI
- CI/CD
- Docker
- AWS
- GCP
- Azure
Benefits
Team Events
- Team events
- Offsites
Free or Subsidized Food
- Wolt dinners
Parking & Commuter Benefits
- Rides home when working late
Not a perfect match?
- Beam AIFull-timeOn-siteSeniorBerlin
- Fieldfisher X
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Building LLM-based AI systems and workflow agents for a patient-experience platform. Production LLM application development and RAG systems experience required. Team events, offsites, and Wolt dinners.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Strong experience building LLM-based applications in production
- Excellent Python skills
- RAG systems experience
- Embeddings experience
- Vector databases experience
- Prompt engineering experience
- Structured outputs experience
- Experience with 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
- Execution-focused and pragmatic
- Comfortable working in ambiguity and fast-paced environments
Tasks
- Design and build production-grade AI systems
- Develop scalable LLM-based systems
- Implement workflow agents and multi-agent architectures
- Own AI features from idea to production
- Focus on quality, reliability, and impact
- Build robust RAG pipelines
- Implement retrieval systems using embeddings
- Use vector databases and structured data
- Develop intelligent patient-facing features
- Transform unstructured patient data into insights
- Create personalized health reports
- Drive evaluation and quality
- Build evaluation frameworks for LLM outputs
- Evaluate retrieval quality and agent performance
- Collaborate with product, data, and domain experts
- Translate healthcare problems into AI solutions
- Optimize AI system performance
- Improve latency and cost-efficiency
- Enhance system robustness in production
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- RAG systems
- embeddings
- vector databases
- Prompt engineering
- structured outputs
- LangChain
- LangGraph
- LlamaIndex
- Autogen
- CrewAI
- CI/CD
- Docker
- AWS
- GCP
- Azure
Benefits
Team Events
- Team events
- Offsites
Free or Subsidized Food
- Wolt dinners
Parking & Commuter Benefits
- Rides home when working late
About the Company
mama health
Industry
Healthcare
Description
The company builds AI-first applications to enhance patient care and improve healthcare data accessibility.
Not a perfect match?
- Beam AI
Senior AI Agent Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Fieldfisher X
AI Software Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - mama health
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - SumUp
Senior AI Backend Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Libra Technology GmbH
AI Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin