Senior Fullstack Developer - React / Python Senior GenAI Engineer - LLMs / RAG / Python (f/m

• 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

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)

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.