Senior Software Engineer: Applied AI

At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.

The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.

Senior Software Engineer: Applied AI

Every day, thousands of shipments cross borders, change hands, and hit unexpected problems. For decades, fixing those problems meant phone calls, emails, and humans heroically firefighting. We think that's about to change completely.

We've been building AI agents that spot trouble before it happens, reroute shipments, and keep goods moving—with our team of experts in the loop where it counts. The early results have been jaw-dropping. We're now going all in on a future where supply chains run themselves, and we're looking for the people who want to build that future with us.

This isn't a role where you join a team and pick up tickets. You'll find the highest-leverage problems, design the solutions, and ship them to operators moving freight across 112 countries. If that sounds like your idea of a good time, read on.

What You'll Do

You'll build the cutting-edge agents and AI-powered applications that make Flexport's operations smarter, faster, and increasingly autonomous. That means:

• Designing and shipping end-to-end AI agents that handle real logistics work—customs compliance, document processing, exception management, and more
• Crossing organizational boundaries to understand problems deeply, align stakeholders, and get things done without waiting for permission
• Moving fast from idea to production, treating every deployment as a learning opportunity
• Working directly with operators, domain experts, and leadership to turn ambiguous problems into shipped solutions

You Should Have

• 5+ years of software engineering experience; you've built with LLMs extensively—whether in production, side projects, or just because you couldn't stop yourself
• Strong product instincts: you can identify what's worth building, not just execute on a spec
• LLM fluency: agent patterns, RAG, prompt engineering, tool use, evaluation. You know what works in production and what looks good in demos
• Full-stack capability in TypeScript and Next.js—you can own a feature end to end
• An entrepreneurial drive: you thrive in ambiguity, move fast, and don't wait to be told what to do
• Excellent communication: you can work across teams and disciplines to get alignment and unblock yourself
• An audacious appetite for impact: you're not here to maintain—you're here to change how global trade works

Nice to Have

• Experience with workflow orchestration (Temporal, etc.)
• Experience building internal tools or operator-facing applications

How We Work

• We come to the office 3 times a week to hang out, whiteboard, and ship together
• We have the latest hardware and software—including frontier AI models on day one
• We're agile, but not dogmatic. Teams decide how they work best
• Stack: Next.js, TypeScript, Postgres, Snowflake. For AI: Anthropic, OpenAI, Google AI APIs

Why This Role Is Special

• Your work is visible: This is a small, senior team reporting directly to the VP of Engineering. What you build gets noticed, and your ideas shape the direction
• Real stakes: thousands of containers, 112 countries, $19 billion of goods. Your agents will have immediate, measurable impact
• Full ownership: from problem definition to production deployment, it's yours
• You're early: the playbook for applied AI in enterprise logistics doesn't exist yet—you'll help write it