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.
About You
You have shipped real product on top of LLMs – not just chat wrappers. You have designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in terms of capability, reliability, and unit economics, not just whether the model says the right thing. You enjoy time with the people who do the work, learning an industry's vocabulary, edge cases, and operational tempo, and you let that shape what you build. Dropped into a fuzzy customer problem with a half-formed hypothesis and a deadline, you scope, build, evaluate, and ship without waiting for a spec. You move between prompt iteration, eval design, backend services, and customer-facing UI in the same week, and you care about evals that catch regressions and traces that are easy to debug.
You Will
- Embed with customers and operators to understand how supply chains run today, then design and ship agents that take meaningful work off their plate.
- Build production agent systems on frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration that ties them together.
- Own evaluation as a first-class discipline: datasets from real traces, rubrics and graders, experiments, and improvements you can prove move the needle.
- Architect the data, services, and APIs the agent layer depends on, integrating our internal systems with customers' WMS, TMS, and ERP environments.
- Codify repeatable deployment patterns so each new customer rollout is faster than the last.
Neo Further Reading
About Traba
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.
Additional positioning:
- We’re building the strongest staffing company in the market — high quality, high reliability, deeply embedded with customers
- On top of that, we’re building the AI and software layer that transforms the light industrial supply chain
- Products like Neo handle the operational grind (cross-system reasoning, early warnings, and routine actions) so teams can focus on service and scaling the business.
Required skills
Other roles at Traba
Job details
Salary
$140,000 - $200,000
Location
New York, United States
Experience
5+ years
Funding
Total raised
$45.6M
Last stage
Series A
Investors
Founders
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.