Product Engineer (Mid-Senior)

Role details

Salary: $140K – $200K

On-site work policy: In-person 5 days per week in New York. Relocation is available for candidates who require it.

Full-time position

Location: New York, NY

Tech stack: Typescript/Javascript, React, React Native, APIs, Python, Node.js

Equity: Competitive

Visa sponsorship details: Open to visa transfers (e.g. OPT, H1B transfers)

Additional visa sponsorship details: Able to sponsor most visas except net new H1Bs (transfers okay)

Hiring Count: Looking to hire 1 – 3 candidates for this role

About this 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.

Requirements

Requirements

Dealbreaker

Work experience

• Must have: 3+ YOE (strict requirement) owning features and products at high pedigree,​ fast-​growing start-​ups (ideally Founding Engineer) with tangible business results

Hard skills

• Must have: Strong product intuition and thinking on user problems or impact across the org

Soft skills

• Must have: Comfortable and truly excited to ship and lead projects at scale with high velocity,​ early-​stage ambiguity,​ and cross-​functional friction

Miscellaneous

• Must have: Excited to be in-​person and onsite 5 days per week

Baseline

Seniority

• Required: 3 -​ 4 years of experience as a software engineer (mid-​sr) owning products in early-​stage teams

Work experience

• Required: Built 0-​to-​1 agentic AI products at fast-​growing start-​ups with high calibre teams

Education

• Required: Computer Science or other technical degree from a top 25 university

Hard skills

• Required: Deep in TypeScript,​ React/React Native,​ Node.​js,​ and/or PostgreSQL

Nice-to-have

Work experience

• Breadth of experience across multiple domains/products,​ particularly in:​

– ​agentic and applied AI

– ​matching/recommendation systems (e.​g.​,​ dating apps)

– ​marketplaces (e.​g.​,​ Instacart,​ Uber)

– ​AI labour platforms (e.​g.​,​ Mercor,​ Micro1,​ Ribbon.​ai)

– ​multi-​sided platforms

– ​recruiting (e.​g.​,​ Rippling,​ Deel)

– ​non-​technical users in antiquated industries (e.​g.​,​ logistics,​ supply chain,​ healthcare)

Hard skills

• Experience integrating LLMs or agents into real product (prompting,​ tool wiring)

Traits to avoid

• No indicators of scrappiness (e.​g.​,​ FAANG profiles must have side projects etc)
• Frequent career moves (e.​g.​,​ multiple stints under 2 years)

Application

Send us your updated CV/Resume to contact@remotetalents.website with the subject: “Product Engineer (Mid-Senior)”

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