Senior GenAI Engineer — LLMs - RAG - Python (f,m,d) — Remote in Germany at Talents2Germany in Hessen, Germany (full-time)

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

What we’re looking for

• • Technical must-haves
• • 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).