Senior AI Engineer
Core
Design, develop, and deploy production AI agents and MCP integrations to automate real logistics workflows including dispatch, billing, compliance, and fleet operations.
Role type
Senior IC AI Engineer (Logistics Automation) (via careerplan.io/jobs/bbc4469b-144e-4c1a-b6f7-55dedd4a2808-senior-ai-engineer-at-charger-logistics-inc)
Builds
Production AI agents, MCP servers, and multi-agent orchestration workflows for logistics operations
Domain
Logistics / Transportation / AI Engineering
Deliverable
production ML models
Required skills
Python, LLM integration (function calling, tool use, structured outputs), MCP (Model Context Protocol), agent orchestration, RAG/KAG/CAG strategies, Kubernetes, GitOps, SQL, cloud platforms
Preferred skills
Knowledge graphs, streaming data systems, knowledge retrieval pipelines
Responsibilities
Design and deploy MCP servers exposing domain services as AI-consumable tools; Build multi-agent workflows using orchestration frameworks; Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies; Implement LLM integration layers including prompt engineering and model routing; Deploy and maintain agent infrastructure on Kubernetes with GitOps practices
Seniority
Senior, hands-on IC
