Staff Software Engineer (Applied AI)

Traba•San Francisco, CA

4d•$240,000 - $300,000

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—and set the standard for how we do it. You'll put frontier models and existing agents to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts—and own the core backend services and platform it all runs on. (Our AI Agents team builds the agent platform; you make it real across the stack.) This is a platform-engineering role first, so you'll go where the priorities are: the infrastructure an agent needs one quarter, a matching, data, or scaling problem the next. You'll join the founding team, partner with our CTO on key architectural decisions, iterate on the roadmap, and build the foundational platform that scales over the next several years. About You: An applier who sets the bar. You wire frontier models and existing agents into real product across the stack—and set the standard for how the team does it. You don't need to own the orchestration internals; you make them real in production, and you know which corners are safe to cut at an early stage. Voracious learner. You move easily from API design to deployment infrastructure. Deep full-stack experience. You've designed performant, scalable applications with real expertise in APIs, data modeling, query optimization, and distributed systems.

Requirements

7+ years with TypeScript/Node.js or Python, PostgreSQL, and messaging (Kafka or RabbitMQ).
A track record of shipping and leading projects at scale with high velocity.
Experience building or integrating AI/LLM systems in production is a plus—what matters most is the judgment to lead the team into it.
Comfort owning ambiguity and direction in an early-stage environment.

Responsibilities

Set the standard for how we apply agents across the stack to automate the staffing pipeline—and for how the team builds with AI-assisted tooling.
Architect and lead core systems—from real-time matching to autonomous vetting pipelines powered by ML and agents.
Own architecture for the platform, thinking ahead to what the company will need a year or two out.
Drive backend performance, reliability, and scale.