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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Fullstack Developer - React / Python Senior GenAI Engineer - LLMs / RAG / Python (f/m - **Company:** Talents2Germany - **Location:** Frankfurt am Main, Germany (Remote available) - **Experience:** Expert - **Salary:** €80,000.0 - €100,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Text Processing, Fault Tolerance, Github, Graph Database, Information Retrieval, Python (Programming Language), Open Source Technology, Software Engineering, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Kubernetes, Deployment Automation, HuggingFace, Production Code, Machine Learning Operations, Software Version Control - **Published:** July 18, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=05afa1ac2d8ff8a2 ## About the Role * 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) ## 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 ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Watch Tests Go Brrrr! 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