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
Skills Required
- 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
- 3+ years supporting supply chain or enterprise operations
- Strong software engineering skills (Python preferred)
- Hands-on experience with LLMs, prompt engineering, 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
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
