AI Engineer (Nearshore)

Responsibilities:
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
Requirements:
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)
Nice to have: Experience with scalable AI platforms, Azure services, event-driven architectures, and Infrastructure as Code.
Fluent in German language

Work arrangement
Yes