About the role
Applied AI
You will 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. The AI Agents team builds the agent platform; your job is to apply it where it creates leverage. This is a product-engineering role, so priorities will shift – some quarters that is an agent that automates vetting or matching, others it is a payments flow or platform work. You will partner with our CTO on architecture and roadmap, and build the platform the rest of the company runs on.
About You
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. You do not need every task to be an AI task: you take the highest-priority problem, model or not. You move easily between API design, UX, and deployment infrastructure, and 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 fulfilment.
- 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.
AI Agent (Neo AI)
You will build the AI agents themselves: the harnesses, evals, orchestration, and model strategy that the rest of Traba's product runs on. We are looking for a Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product – an agentic platform that synthesises the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. The Applied AI team puts these agents to work across the product; you own the agents and infrastructure they depend on. You will embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take early-stage ideas to scaled deployments.