> Markdown version of [/jobs/ext/4619178-staff-software-engineer-autonomous-freight-systems](https://www.wearedevelopers.com/jobs/ext/4619178-staff-software-engineer-autonomous-freight-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Autonomous Freight Systems - **Company:** Flexport Inc. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Distributed Systems, Human-Computer Interaction, Ruby on Rails, Workflow Management Systems, AI Infrastructure, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Backend, Agentic-AI, Stack Overflow - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_9e7dc2b4865a6f98e8bb60625788ba86 ## About the Role * LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo. * Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI. * Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution. * Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority. * Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems. * Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems. * Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike. It's a plus if you have * Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS. * Experience in logistics, supply chain, or freight technology. * Experience building internal tools or operator-facing applications. * A bias for action: When you see a problem, you solve it. ## Description The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport's client-facing rates platform and the self-serve freight booking experience-two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention. As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch. This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company., * Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight. * Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely. * Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don't have "Stack Overflow" answers yet. * Build and launch products rapidly and incrementally: we ship to production dozens of times per day. * Mentor and uplevel engineers across the team, fostering a culture of technical excellence. * Partner with the Engineering Manager to define the team's technical roadmap and hiring bar.