Senior AI Engineer
Core
Building production AI agents and MCP integrations to automate logistics workflows (dispatch, billing, compliance, fleet operations) and improve reliability and efficiency.
Role type
Senior AI Engineer (Production Agents & MCP)
Builds
Production-grade AI agents, MCP servers, and multi-agent orchestration workflows for logistics automation.
Domain
Logistics / Transportation / AI Engineering
Deliverable
production ML models
Required skills
Python, LLM integration (function calling, tool use, structured outputs), RAG/KAG/CAG strategies, Kubernetes, GitOps, SQL, REST APIs, microservices architecture
Preferred skills
MCP, agent orchestration frameworks, knowledge graphs, streaming data systems
Responsibilities
Design and deploy MCP servers with authentication and observability; Build multi-agent workflows using orchestration frameworks; Develop and optimize knowledge retrieval pipelines (RAG, KAG, CAG); Implement LLM integration layers (prompt engineering, model routing); Collaborate with cross-functional teams to translate workflows into agent capabilities; Deploy and maintain agent infrastructure on Kubernetes.
Seniority
Senior, hands-on IC