> Markdown version of [/jobs/ext/4647888-senior-software-engineer-autonomous-freight-systems](https://www.wearedevelopers.com/jobs/ext/4647888-senior-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). --- # Senior Software Engineer, Autonomous Freight Systems - **Company:** Flexport Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $206,181 - $252,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Systems Engineering, Cloud Computing, Code Review, Databases, Software Design Documents, Ruby on Rails, Software Engineering, Workflow Management Systems, ReactJS, Retrieval-Augmented Generation, Large Language Models, Spring-boot, Agentic-AI, Build Management, Front End Software Development, Api Management - **Published:** November 9, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-autonomous-freight-systems-san-francisco-ca--b9be85d4-8b9d-40fa-a47e-13374fe749bb ## About the Role Software Engineering, Cargo/Freight, Fortune 500 Customers, Supply Chain, Pricing, Cargo/Freight, Customer Relations, Artificial Intelligence (AI), Systems Engineering, Trucking, * 5+ years of professional software engineering experience with a proven track record of shipping production-grade systems with increasing levels of independence. * Deep Ownership Instinct: You hold yourself accountable for outcomes, not just outputs. When something breaks, you fix it-and you make sure it doesn't break again. * Full-Stack Fluency: You can own a feature from the database to the browser. You are opinionated about schema design, API contracts, and frontend architecture, not just one layer. * AI/LLM Hands-On Experience: You have built software that integrates LLMs into real user workflows-not just proof-of-concepts, but production systems. You understand the practical challenges: latency, reliability, prompt fragility, and cost. * Agency and Drive: You identify the next most important problem without being asked. You default to action, propose solutions, and bring others along. * Technical Rigor: A genuine passion for simple, well-tested, well-structured code. You push back on complexity and leave systems better than you found them. * Communication: You can explain a technical tradeoff clearly to a product manager and to a staff engineer. Your design docs and code reviews are worth reading. * Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS). It's a Plus If You Have * Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS. * Familiarity with agentic patterns, RAG, or workflow orchestration (e.g., Temporal). * Experience in logistics, supply chain, freight technology, or pricing systems. * A bias for action: when you see a problem, you own the fix. #LI-onsite ## Description * Take end-to-end technical ownership of core systems: from schema design and backend APIs to the React surfaces our customers use and drive them to production without needing oversight. * Proactively identify gaps, inefficiencies, and engineering problems within your domain and lead the effort to resolve them. * Design and build AI-powered features and integrations, moving beyond "AI familiarity" to hands-on implementation of agent workflows and LLM-backed automation in production. * Drive technical design for significant features, producing well-reasoned proposals and aligning teammates before writing the first line of code. * Mentor and support P2 engineers through code review, pairing, and design feedback, raising the quality of the team's output. * Collaborate closely with product, design, pricing, and operations to translate complex domain problems into elegant, production-ready solutions. * Build and ship incrementally: this team deploys to production dozens of times per day, and you are comfortable with that pace. * Ensure reliability and quality by building in metrics, monitoring, and applying learnings from incidents to all systems you own.