AI Engineer (41698)

As an AI Engineer, you will build and maintain production-ready AI agent workflows and develop FastMCP-based services for the Eclipse AI platform. You will design workflow orchestration and state persistence using Redis and work with large datasets for AI pipelines. You will ensure high code quality, testing standards, and CI/CD practices in daily development. You will also integrate enterprise-grade security and collaborate closely with AI platform teams. If this role sounds interesting to you, feel free to get in touch.

🚀 Project
- build and maintain production-ready AI agent workflows
- develop FastMCP-based services for the Eclipse AI platform
- design and manage workflow orchestration and state persistence with Redis
- ensure high code quality, testing, and CI/CD practices
- integrate enterprise-grade security into AI services
- collaborate with AI platform and delivery teams
- work with large datasets and prepare data for AI workflows

 🎯 Skills
- senior-level experience with five or more years in relevant roles
- strong Python skills with FastAPI, Pandas, and NumPy
- experience with Retrieval Augmented Generation
- proficiency in prompt engineering
- knowledge of vector databases and embedding models
- experience with LangChain and LangGraph
- experience with FastMCP
- hands-on experience with Azure services including Azure Functions
- experience with Docker, CI/CD, unit testing, and version control
- strong analytical thinking and problem-solving skills
- good communication skills for cross-functional collaboration
- ENG C1

💡 Nice to have
- experience with multi-agent frameworks like CrewAI, Autogen, or Taskweave
- understanding of data engineering concepts and data pipelines
- knowledge of AI ethics, bias mitigation, and responsible AI practices



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