Staff Software Engineer (Applied AI)

Traba$240K — $300K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience with TypeScript/Node.js or Python, PostgreSQL, and messaging systems like Kafka or RabbitMQ.
  • Demonstrated ability to lead and deliver projects at scale quickly.
  • Experience in integrating AI/LLM systems in production preferred, with an emphasis on sound judgment for team direction.
  • Strong familiarity with building scalable applications and distributed systems.
  • Versatility in API design and deployment infrastructure.

Responsibilities

  • Set standards for automating the staffing pipeline using AI agents across the technology stack.
  • Architect and develop core systems for real-time matching and autonomous vetting processes powered by ML.
  • Own and design platform architecture with a forward-looking perspective to future requirements.
  • Enhance backend performance, reliability, and scalability quickly and effectively.
  • Collaborate directly with the CTO on key architectural choices and product roadmap.

Benefits

  • Start-up equity for ownership stake in the company.
  • 100% health, dental, and vision insurance coverage fully paid by the company.
  • Dinner provided via DoorDash and a stocked kitchen for employees in NY.
  • Commuter benefits to offset transit costs.
  • Access to Gympass for fitness and wellness programs.
  • Membership to One Medical, Talkspace, and other health resources for comprehensive support.
Full Job Description
You'll build Traba's product on top of AI agents-and set the standard for how we do it. You'll 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-and own the core backend services and platform it all runs on. (Our AI Agents team builds the agent platform; you make it real across the stack.) This is a platform-engineering role first, so you'll go where the priorities are: the infrastructure an agent needs one quarter, a matching, data, or scaling problem the next. You'll join the founding team, partner with our CTO on key architectural decisions, iterate on the roadmap, and build the foundational platform that scales over the next several years.

About You:
  • An applier who sets the bar. You wire frontier models and existing agents into real product across the stack-and set the standard for how the team does it. You don't need to own the orchestration internals; you make them real in production, and you know which corners are safe to cut at an early stage.
  • Voracious learner. You move easily from API design to deployment infrastructure.
  • Deep full-stack experience. You've designed performant, scalable applications with real expertise in APIs, data modeling, query optimization, and distributed systems.

You Will:
  • Set the standard for how we apply agents across the stack to automate the staffing pipeline-and for 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 architecture for the platform, thinking ahead to what the company will need a year or two out.
  • Drive backend performance, reliability, and scale.

You Have:
  • 7+ years with TypeScript/Node.js or Python, PostgreSQL, and messaging (Kafka or RabbitMQ).
  • A track record of shipping and leading projects at scale with high velocity.
  • Experience building or integrating AI/LLM systems in production is a plus-what matters most is the judgment to lead the team into it.
  • Comfort owning ambiguity and direction in an early-stage environment.

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 $240,000 and $300,000, 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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