Job Description

We are building an AI-enabled supply chain that reasons, decides, and acts. As an AI Engineer - Supply Chain, you will design and build production-grade AI agents that execute multi-step workflows, make context-aware decisions, and integrate with enterprise systems through APIs, microservices, and workflow platforms.

This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions across the supply chain.

Responsibilities include but not limited to:

• Build autonomous AI agents using LLMs, reasoning frameworks, tool-calling, memory, and guardrails
• Design multi-step planning and decision logic that enables agents to act safely and intelligently
• Integrate agents with APIs, microservices, and workflow systems (e.g., Logic Apps, Power Automate)
• Develop evaluation frameworks to measure agent performance, reliability, and safety
• Collaborate with data science, automation, and product teams to embed predictive and prescriptive signals into agent workflows
• Translate business processes into structured agent behaviors and decision flows
• Ensure compliance, observability, and governance for agentic systems

Qualifications

Basic Qualifications:

• Bachelor’s or Master’s degree in computer science, data science, engineering, or a related field
• 8+ years of professional software and/or AI engineering experience, including 3+ years supporting supply chain or enterprise operations
• Demonstrated ability to operate independently and own production services end-to-end (design, build, deploy, monitoring, incident response) with minimal oversight
• Strong software engineering skills (Python preferred)
• Hands-on experience with LLMs, prompt engineering, agent frameworks, or orchestration tools
• Understanding of APIs, microservices, and event-driven architectures
• Familiarity with supply chain processes or enterprise systems
• Experience designing multi-step workflows or decision logic
• Ability to translate business logic into structured agent behaviors

Preferred Qualifications:

• PhD degree in data science, computer science, or related field
• Experience with agent frameworks (LangChain, Semantic Kernel, AutoGen)
• Experience with RAG, vector databases, or memory architecture
• Familiarity with observability, evaluation frameworks, and safety guardrails
• Experience integrating agents with ERP, WMS, TMS, or supply chain APIs