Senior AI Engineer
Job Summary
To contribute to the development of AI-driven solutions, the remote Senior AI Engineer will design and deploy production AI agents and Model Context Protocol (MCP) integrations to automate logistics workflows, enhancing efficiency and reliability in high-stakes environments.
Key responsibilities:
- Design, develop, and deploy MCP servers that expose domain services as AI-consumable tools
- Build multi-agent workflows using orchestration frameworks for complex logistics automation
- Implement LLM integration layers, including prompt engineering and structured output parsing, to ensure domain accuracy
Required qualifications:
- Minimum 3 years of experience with a Bachelor's in Computer Science, Artificial Intelligence, or a related technical field
- Experience building production-grade AI applications in Python
- Solid understanding of knowledge retrieval patterns, including RAG, KAG, and CAG strategies
- Proficiency with SQL and at least one analytical data platform (e.g., BigQuery, Snowflake)
- Experience with cloud platforms and container orchestration (Kubernetes)
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