Senior AI Engineer – Supply Chain (Agent focus)
Core
Designing and deploying scalable multi-agent AI systems to solve complex supply chain and logistics challenges.
Role type
Senior AI Engineer (Multi-Agent Systems & Supply Chain)
Builds
Production-grade multi-agent architectures, RAG pipelines, and integrated AI services for enterprise logistics workflows.
Domain
Supply Chain & Logistics / Generative AI
Deliverable
production ML models
Required skills
Python, LLM orchestration (CrewAI, AutoGen, LangGraph), RAG pipeline development, API integration (MCP, REST), agent workflow design, evaluation frameworks (hallucination detection, token efficiency), cloud deployment, CI/CD.
Preferred skills
TypeScript, SAP/ERP integration, n8n, Copilot Studio, Azure AI, supply chain domain knowledge.
Technologies
CrewAI, AutoGen, LangGraph, LangChain, LlamaIndex, OpenAI, Anthropic, SAP, Azure AI, n8n, Copilot Studio.
Responsibilities
Partner with stakeholders to define high-impact AI use cases; Architect and deploy multi-agent systems; Build and optimize RAG pipelines; Integrate LLMs with enterprise systems; Implement evaluation frameworks; Own deployment of AI systems; Mentor junior engineers.
Seniority
Senior, hands-on IC
