Senior Software Engineer (Applied AI)

Traba$200K — $240K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in full-stack development with TypeScript, React/React Native, and Node.js or Python.
  • Proficient in API integration, distributed systems, and database management with PostgreSQL.
  • Experience with messaging systems like Kafka or RabbitMQ.
  • Hands-on familiarity with integrating large language models (LLMs) into practical applications.
  • Proven ability to ship scalable products in fast-paced, ambiguous environments.

Responsibilities

  • Apply AI agents and frontier models to automate vetting, matching, and fulfillment across various apps and platforms.
  • Lead both frontend and backend development efforts while mentoring other engineers.
  • Architect and develop core systems for real-time matching and autonomous vetting.
  • Own product surfaces end-to-end while collaborating closely with product and design teams.
  • Engage with the full product development cycle, from concept through deployment.

Benefits

  • Start-up equity opportunities.
  • 100% paid health, dental, and vision coverage.
  • Dinner provided via DoorDash and a stocked kitchen for New York employees.
  • Commuter benefits for traveling employees.
  • Access to Gympass for fitness and wellness.
  • Additional health benefits, including memberships and services such as One Medical and Talkspace.
Full Job Description
You'll 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. (Our AI Agents team builds the agent platform; you apply it everywhere it creates leverage.) This is a product-engineering role first, so you'll go where the priorities are-some quarters that's an agent that automates vetting or matching, others it's a payments flow or platform work. You'll partner with our CTO on architecture and roadmap, and build the platform the rest of the company runs on.

About You:
  • An applier, not a researcher. 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. And you don't need every task to be an AI task: you take the highest-priority problem, model or not.
  • Voracious learner. You move easily between API design, UX, and deployment infrastructure.
  • Proven full-stack builder. 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 fulfillment.
  • 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.

You Have:
  • 5+ years across frontend and backend: TypeScript, React/React Native, and Node.js or Python.
  • Strong with APIs, distributed systems, PostgreSQL, and messaging (Kafka or RabbitMQ).
  • Hands-on experience integrating LLMs or agents into real product-prompting, tool wiring, evals. You've shipped AI features, even if you didn't build the platform.
  • A track record of shipping scalable products in fast, ambiguous, early-stage environments.

Benefits:
  • Start-up equity
  • Competitive Salary
  • 100% Paid health, dental & vision coverage
  • Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees
  • 🚍 Commuter benefit
  • 🏋 Gympass Benefit
  • ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health
Salary Range Details

The compensation range for this position is set between $200,000 and $240,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.

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