Product Engineer (Senior/Staff)

San Francisco, New York
Full-time
Visa Sponsorship

About the role

Applied AI

You will build Traba's product on top of AI agents and set the standard for how we do it. You will 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, then own the core backend services and platform it all runs on. The AI Agents team owns the agent platform itself; your job is to make it real across the product. This is a platform-engineering role, so priorities will shift: infrastructure one quarter, matching or scaling problems the next. You will join the founding team, partner with our CTO on key architectural decisions, and build the platform that the company runs on for the next several years.

About You

You wire frontier models and existing agents into production across the stack. You do not need to own the orchestration internals, but you know how to make them real, and you know which corners are safe to cut early on. You move easily from API design to deployment infrastructure, and you have designed performant, scalable systems with real expertise in APIs, data modelling, query optimisation, and distributed systems.

You Will

  • Define how we apply agents across the stack to automate the staffing pipeline, and 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 platform architecture with an eye on what the company will need a year or two out.
  • Drive backend performance, reliability, and scale.

AI Agents (Neo AI)

You will build the AI agents themselves: the harnesses, evals, orchestration, and model strategy that the rest of Traba's product depends on. We are looking for a Staff Agent Engineer to join as a founding member of the Agents team and lead development of Traba's agentic platform – the layer that synthesises data flowing through our marketplace, integrates with customers' operational systems, and acts autonomously inside the workflows that run their facilities. The Applied AI team puts these agents to work across the product; you own the agents, evals, and model strategy they depend on. You will partner with our CTO on the core architectural decisions around how agents are built, evaluated, and deployed at Traba, and bring the technical depth and customer immersion this product needs at this stage.

About You

You have shipped agent systems into production at scale. You have designed the harness, chosen the orchestration patterns, owned the evals, and carried the on-call. You have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code. You are as comfortable on a customer site as in a design doc, and you let what you see in the field shape architecture. You raise the bar by writing the canonical example: picking the foundational tools, integrating the right model providers, designing the eval infrastructure. You have strong opinions on eval datasets, prompt versioning, and observability for agents, and a good instinct for where a clean abstraction tips into over-engineering.

You Will

  • Architect Traba's agent platform end to end: orchestration runtime, eval and observability stack, the integration layer to internal and customer systems (WMS/TMS/ERP), and the patterns every agent is built on.
  • Own the foundational technical decisions: model strategy, harness design, retrieval and memory architecture, tool/MCP surface, and how we measure quality.
  • Spend time with customers and operators in the field, translating what you see into durable product and repeatable deployment patterns.
  • Build evaluation as a real engineering discipline: datasets, graders, regression suites, and experimentation tooling.
  • Hire and mentor the engineers who build alongside you.
  • Partner with the CTO, product, and ops leadership on the multi-year platform roadmap.

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

Typescript/Javascript
React
React Native
APIs
Python
Node.js

Other roles at Traba

Interested?

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Job details

Salary

$200,000 - $300,000

Location

San Francisco, New York

Experience

8+ years

Company

NameTraba
Industryai, logistics, manufacturing, marketplace, b2b
Team Size75

Funding

Total raised

$45.6M

Last stage

Series A

Investors

Founders Fund
Khosla Ventures
General Catalyst

Founders

Mike Shebat

Mike Shebat

CEO & Co-Founder

LinkedIn
Akshay Buddiga

Akshay Buddiga

Co-Founder & CTO

LinkedIn
GD

Gonzalo De Mujica

Co-Founder, Founding Operations & Strategy

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.