Agentic AI Engineer

Company overview: TraceLink is the world’s largest Agentic Business Network, enabling life sciences and healthcare companies to build and manage a scalable digital workforce of governed, no-code AI agents that execute and coordinate mission-critical supply chain operations alongside human teams. Powered by the Integrate-Once™ OPUS platform, TraceLink links more than 300,000 network participants, enabling multi-enterprise processes at global scale. Founded in 2009 with the simple mission of protecting patients, today Tracelink has 5 global offices, over 800 employees and more than 1700 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT. Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably. About the Role We are looking for an early-career Agentic AI Engineer to help build and evolve AI-powered systems that automate and improve supply chain workflows. In this role, you’ll work alongside experienced engineers and data scientists to develop agentic AI / GenAI features , integrate knowledge-based retrieval (RAG) patterns, and contribute to testing and validation approaches for AI systems that can behave in non-deterministic ways. This is a strong opportunity for someone who is eager to grow in both software engineering and applied GenAI , and wants to work on real-world enterprise problems in supply chain and (optionally) life sciences. Key Responsibilities Support the design and implementation of agentic AI / GenAI systems that assist in automating supply chain workflows. Build and maintain backend services and integrations using Python and/or Java . Contribute to multi-agent workflows , such as tool execution, routing, agent collaboration patterns, and task orchestration. Assist in creating testing and validation strategies for AI systems, including