Staff AI/ML Engineer
Core
Building intelligent agents and prediction/optimization models to automate manual operational work and power real-time decisions in logistics delivery.
Role type
Staff AI/ML Engineer (Agentic & Decision Intelligence)
Builds
Multi-agent orchestration systems, forecasting/prediction models, and optimization services for logistics operations.
Domain
Logistics, Supply Chain, Transportation
Deliverable
production ML models | product features
Required skills
Multi-agent orchestration, Generative AI, Forecasting, Optimization, Python, ML-systems architecture, Evaluation design, Reliability engineering
Preferred skills
Operations research, Reinforcement learning, Multimodal/document understanding, Real-time streaming systems, MLOps
Technologies
LangGraph, LangChain, MCP, Amazon Bedrock, Azure OpenAI, Anthropic, OpenAI, FastAPI
Responsibilities
Design and ship production AI systems with multi-agent orchestration; Build forecasting, prediction, and optimization models; Design learning loops with evaluation infrastructure; Own reliability, tracing, and guardrails for AI workflows; Make build-vs-rules architectural decisions; Mentor engineers and push the prototyping-to-production pipeline.
Seniority
Staff, high-ownership IC with mentorship
