Senior Fullstack Developer - React / Python Senior GenAI Engineer - LLMs / RAG / Python (f/m
Role details
Job location
Tech stack
Job description
Senior GenAI Engineer - LLMs / RAG / Python (f/m/d) - Remote in GermanyLocationFully remote - Germany | Frankfurt ( 4 days/month travel)Salary€80,000 - €100,000 gross p.a.EmployerDisclosed after intro call - placed by Talents2GermanyWhat you'll build
- Design and own end-to-end RAG pipelines - from document ingestion and chunking strategy to retrieval evaluation and answer quality
- Evaluate, fine-tune, and deploy LLMs (OpenAI, Anthropic, open-source) for domain-specific German-language use cases
- Architect robust, scalable AI systems that meet enterprise reliability and compliance requirements
- Build evaluation frameworks - automated evals, human-in-the-loop testing, regression suites - to ensure production reliability
- Collaborate with fullstack engineers to expose AI capabilities through clean APIs and intuitive product interfaces
- Stay current with the GenAI field and translate relevant research into practical product improvements on a short cycle
Requirements
Do you have experience in React?, Do you have a Master's degree?, * 5+ years of software engineering experience, with at least 2 years in applied AI/ML in production
- Deep Python fluency - you write clean, testable, production-ready code (not just notebooks)
- Hands-on experience with RAG architectures and vector databases (Pinecone, Weaviate, Qdrant, or similar)
- Practical knowledge of at least one major LLM provider API (OpenAI, Anthropic, Cohere) and prompt engineering best practices
- Strong understanding of MLOps: model versioning, deployment, monitoring, and graceful degradation in production
- Experience with orchestration frameworks such as LangChain, LlamaIndex, or similar
Who you are
- You close the research-to-production gap faster than anyone else on the team
- German language on B1 / B2 level and willingness to learn German and to reach a working proficiency level (C1) within 6 months
- Comfortable with ambiguity - you define the problem and propose the solution, not just wait for a spec
Strong bonus points
- Experience with multilingual NLP tasks, particularly German-language text processing
- Fine-tuning or RLHF experience (LoRA, QLoRA, DPO)
- Knowledge of multi-agent frameworks (LangGraph, CrewAI, AutoGen)
- Background in enterprise AI deployments, information retrieval, or knowledge graphs
- Open-source GenAI projects, technical writing, or community contributions (GitHub, HuggingFace, arXiv)
Benefits & conditions
Compensation & Benefits
- €80,000 - €100,000 gross annual salary
- 30 vacation days + German public holidays
How we work
Fully remote-first with an international team. Occasional travel to Frankfurt required (up to 4 days/month).
Our hiring process
- Intro call
- Technical Screening
- HR Interview
- Engineering panel
- Culture & Values conversation
Ready to work on GenAI challenges that are actually hard?
Apply via the link below - just your CV, no cover letter needed. Or reach out directly if you'd like to talk first.