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AI Engineer / Agentic AI Developer - 12+ Months - Remote/Frankfurt

Original title: AI Engineer/Agentic AI Entwickler-12+Monate-remote/Frankfurt

RED Global · Frankfurt, Deutschland, Germany · Hybrid · Senior

  • Frankfurt, Deutschland, Germany · Hybrid
  • German · English

Indexed (yesterday) · refreshed constantly

Start
2027-01
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3071325

Required skills

Nice to have:Retrieval-Augmented Generation (RAG)AI GovernanceLLM ObservabilityGenerative AILangFuseAlgorithm Design

Languages: German · English

Job description

Seeking an AI Engineer / Agentic AI Developer to design, implement, and test production-ready AI agent solutions using Python and LangGraph, integrating them into existing platforms. The role involves building RAG pipelines, ensuring software quality, and requires strong Python and agentic AI experience.

Project overview

For our client, we are currently looking for an AI Engineer / Agentic AI Developer. Your main task will be to conceptualize, implement, and test production-ready AI agent solutions based on Python and LangGraph, and to integrate them into existing platform and system landscapes.

Responsibilities

  • Conceptualization, development, and implementation of production-ready Agentic AI solutions with Python and LangGraph, including tool calling, MCP integrations, and human-in-the-loop workflows.
  • Building and optimizing high-performance RAG and document processing pipelines for various file formats, as well as implementing chunking, embedding, retrieval, and re-ranking methods.
  • Ensuring software quality and production readiness through automated tests, CI/CD pipelines, containerization, and integration of AI Governance and LLM Observability.

Requirements

  • Very solid Python knowledge as well as experience with professional software engineering practices, especially Pydantic, AsyncIO, Pytest, Git, GitLab CI/CD, and Docker.
  • Comprehensive practical experience with LangGraph, Agentic AI, MCP (FastMCP), agent architectures, prompt engineering, and structured outputs.
  • Solid knowledge in RAG, document processing, AI Governance, and LLM Observability, ideally with LangFuse as well as common parsing and retrieval technologies.
  • Project experience in a banking environment is desirable

Project details

Telephone interviews with our client can be arranged at short notice, with a quick decision afterwards.

If you are interested in this project, we look forward to hearing from you and receiving your CV.

  • Start: Mid-January 2027
  • Duration: 12 months+
  • Utilization: 100%
  • Location: Remote + Frankfurt
  • Language: German + English
  • Start: 2027-01
  • Remote: hybrid
  • Location: Frankfurt, Deutschland, DE
  • Languages: German, English

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