We are building an AI-enabled supply chain that reasons, decides, and acts. As an Agentic AI Developer, 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
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