Senior Software Engineer (Applied AI)

Traba•San Francisco, CA

1d•$200,000 - $240,000

About The Position

Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. 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.

Requirements

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.
A track record of shipping scalable products in fast, ambiguous, early-stage environments.

Responsibilities

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.