Job Description
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
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
