Senior Fullstack Developer — React / Python (f/m/d)Senior GenAI Engineer — LLMs / RAG / Python (f/m/

Talents2Germany

Frankfurt am Main

Homeoffice

80.000 € – 100.000 € pro Jahr - Vollzeit

Stellenbeschreibung

Gehalt

80.000 € – 100.000 € pro Jahr

Anstellungsart

Vollzeit

Arbeitsort

Frankfurt am Main

Leistungen

Aus der vollständigen Stellenbeschreibung

Homeoffice-Möglichkeit
Firmenevents
Flexible Arbeitszeiten

Vollständige Stellenbeschreibung

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

What we’re looking forTechnical 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