Aufgaben
Profil
Benefits
- Build and maintain LLM based pipelines for processing customer requests
- Design and implement data ingestion and preprocessing pipelines (emails, PDFs, images, etc.)
- Develop classification and routing logic for customer inquiries
- Apply prompt engineering and continuously improve model outputs
- Implement structured outputs and human-in-the-loop (HITL) workflows
- Ensure production readiness (testing, CI/CD, containerization)
- Contribute to AI system architecture and scalability
- Monitor and improve model performance using LLM observability tools
- Collaborate across teams to integrate AI solutions into existing workflows
Profil
- Strong experience with Python (production-grade)
- Hands-on with FastAPI and async programming patterns
- Experience building LLM pipelines (OpenAI SDK, LangChain, LangGraph, or similar)
- Solid prompt engineering experience
- Familiarity with structured outputs and LLM evaluation approaches
- Experience with Docker, CI/CD, and testing practices
- Background in data engineering (pipelines, preprocessing, working with unstructured data)
- Experience with PostgreSQL and REST/event driven APIs
- Hands-on use of AI coding tools (GitHub Copilot, Codex, Claude Code, or similar)
- German min. B2 level
Benefits
- Interesting assignments at renowned national and international companies
- Remote work possible
- You will work in an international environment
Job ID 889882/1-en
Working for your tomorrow
Hays ist einer der weltweit führenden Personaldienstleister für qualifizierte Fach- und Führungskräfte. Wir bringen Unte...
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Hays
Budapest, Hungary
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