The opportunity
At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.
What you'll do
Own complex integration and AI agent implementations end-to-end: from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts
Design integration architectures with explicit attention to error handling,: retry logic, observability, failure recovery, and multi-system authentication
Design and deploy agentic AI workflows that orchestrate supply chain: operations — from requirements through production, including regression testing and validation before each customer deployment
Deploy AI agent workflows live with customers present: configuring and troubleshooting in the room during customer calls, not gathering requirements to build later
Run customer discovery sessions independently: hear a business problem and propose a technically credible, innovative solution on the spot without IM or management support
Use Claude, OpenAI, and other LLMs across the entire workflow: capturing requirements, designing integrations, generating integration specs, writing code, testing and deployment; the expectation is LLM-assisted work at every stage, not just at the keyboard
What they're looking for
- –9 years of software engineering experience, with meaningful depth in: integration engineering, system design, or a customer-facing technical role — what matters is the complexity and ownership of what you have built
- Strong proficiency in Java (required) and one or more of: Python or Ruby - writes clean, production-grade code with test coverage, clear design rationale, and a standard other engineers can follow
- Strong foundations in data structures and algorithms: designs systems that perform at scale, reasons about complexity tradeoffs under pressure, and makes the right architectural call for high-throughput, low-latency integration scenarios
- Strong software design skills: architects integration and AI workflow systems that are modular, resilient, observable, and built to evolve; can articulate the design, defend the tradeoffs, and produce a diagram that makes it legible to others
- Writes optimized code at speed: takes a customer problem from discovery to deployed solution faster than traditional development cycles; the ability to compress the build cycle without compromising quality is what enables customers to move faster
- Innovative problem solver: brings genuine creativity to hard integration and AI workflow challenges; finds approaches that are technically sound, elegant, and often non-obvious; complexity doesn't slow you down, it sharpens your thinking
- Deep expertise in enterprise integration patterns and how to apply them: across complex, multi-system — knows when to apply which approach and can justify the tradeoffs
- Hands-on experience designing and deploying agentic AI workflows end-to-end: using LangGraph or equivalent — not configuring templates, architecting systems
