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AI Engineer / Agentic Developer (Freelancer)

Spreekind Consulting GmbH · Remote, Deutschland, Germany · Hybrid · Senior

  • Remote, Deutschland, Germany · Hybrid
  • 6 Monate
  • German

Indexed (today) · refreshed constantly

Start
2026-12
Duration
6 Monate
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3067409

Required skills

Languages: German

Job description

Seeking an experienced AI Engineer or Agentic Developer for a freelance role to design and implement AI-powered applications and agentic workflows, focusing on Python, LangGraph, MCP, and RAG.

Project overview

For a client project, we are looking for an experienced AI Engineer or Agentic Developer for the conception and implementation of AI-supported applications and agentic workflows. The focus is on Python, LangGraph, MCP, and RAG. Qdrant is used for vector search; Langfuse is used for observability and monitoring.

Responsibilities

  • Conception and development of agentic applications and workflows with LangGraph
  • Development and integration of MCP servers and MCP clients
  • Setup and optimization of RAG solutions, including data preparation and retrieval
  • Integration and operation of Qdrant as a vector database
  • Instrumentation, monitoring, and evaluation of LLM applications with Langfuse
  • Connection of APIs, data sources, and existing systems
  • Ensuring quality, performance, maintainability, and traceable results
  • Documentation and coordination with the business department and development team

Requirements

Framework Conditions

Search terms: AI Engineer, Agentic Developer, Python, LangGraph, MCP, Model Context Protocol, RAG, Qdrant, Langfuse, LLM, Generative AI

Application

Please send your current profile/CV in Word format with details on your availability and hourly rate (remote).

  • Several years of practical experience in development with Python
  • Profound knowledge in the development of LLM applications and agentic systems
  • Project experience with LangGraph and MCP
  • Good knowledge in setting up RAG systems
  • Experience with vector databases, ideally Qdrant
  • Experience with Langfuse or comparable tools for LLM observability
  • Confident handling of REST APIs, Git, and common development processes
  • Independent, structured way of working and good communication skills
  • Start: by agreement
  • Duration: 6 months
  • Workload: by agreement
  • Location: remote / by agreement
  • Contract type: freelance cooperation

Project details

  • Start: 2026-12
  • Duration: 6 Monate
  • Remote: hybrid
  • Location: Remote, Deutschland, DE
  • Languages: German

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