Senior Software Engineer (Applied AI)

About the role

Traba is building the AI operating system for the industrial supply chain - the network of warehouses, manufacturers, logistics providers, and workers behind the physical goods people rely on every day.

We started by tackling labor, supplying industrial businesses with consistent, reliable temporary workforces, and quickly became the fastest growing staffing company in America.

Since then, we've expanded our suite of AI agents to help logistics providers, manufacturers, 3PLs, and other industrial businesses fully automate their manual workflows, derive insights from their data streams, and transform their decision intelligence.

Our mission is to build a world where the global supply chain operates at peak efficiency.

We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst.

You'll build Traba's product on top of AI agents—taking frontier models and existing agents and putting them to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. (Our AI Agents team builds the agent platform; you apply it everywhere it creates leverage.) This is a product-engineering role first, so you'll go where the priorities are—some quarters that's an agent that automates vetting or matching, others it's a payments flow or platform work. You'll partner with our CTO on architecture and roadmap, and build the platform the rest of the company runs on.

About You:

- An applier, not a researcher. You take frontier models and existing agents and wire them into real product across the stack—shipping reliable automation rather than owning the orchestration internals. And you don't need every task to be an AI task: you take the highest-priority problem, model or not.

- Voracious learner. You move easily between API design, UX, and deployment infrastructure.

- Proven full-stack builder. You have a track record of shipping scalable, performant applications from frontend interfaces to backend distributed systems.

You Will:

- Apply existing agents and frontier models across the stack—worker app, business app, ops platform, marketplace—to automate vetting, matching, and fulfillment.

- Lead frontend and backend development, mentoring other engineers.

- Architect and build core systems—real-time matching, autonomous vetting pipelines, distributed systems, and APIs.

- Own product surfaces end to end, partnering closely with product and design.

You Have:

- 5+ years across frontend and backend: TypeScript, React/React Native, and Node.js or Python.

- Strong with APIs, distributed systems, PostgreSQL, and messaging (Kafka or RabbitMQ).

- Hands-on experience integrating LLMs or agents into real product—prompting, tool wiring, evals. You've shipped AI features, even if you didn't build the platform.