Senior Operations AI Engineer
Core
Design and deploy agentic AI systems to autonomously monitor, reason, and optimize large-scale supply chain and logistics operations.
Role type
Senior IC Operations AI Engineer (Agentic AI & Supply Chain)
Builds
Production-grade AI systems, multi-agent workflows, and intelligent operational tools for supply chain and logistics clients.
Domain
Supply Chain & Logistics / Generative AI & Agentic Workflows
Deliverable
production ML models | product features
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, LangChain, LangGraph, AutoGen, CrewAI, RAG pipelines, vector databases, cloud deployment (Azure/AWS/GCP), Docker, Kubernetes, SQL, data engineering, vibe coding tools (Cursor, Claude, GitHub Copilot)
Preferred skills
Supply chain/logistics domain knowledge, multi-agent system design, MLOps platforms (MLflow, Kubeflow, Azure ML), enterprise AI integrations (ERP, TMS, WMS)
Technologies
PyTorch, TensorFlow, Scikit-learn, LangChain, LangGraph, AutoGen, CrewAI, Azure, AWS, GCP, Docker, Kubernetes, Power BI, Tableau, Cursor, Claude, GitHub Copilot
Responsibilities
Build and deploy ML models for supply chain optimization; Develop agentic AI tools that autonomously monitor and recommend actions; Design multi-agent systems with RAG pipelines; Deliver production-grade AI systems and cloud deployments; Lead technical decision-making and act as primary AI engineering advisor; Mentor engineers and build AI capability across the firm; Present findings to senior client leadership.
Seniority
Senior, hands-on IC with technical leadership
