Applied AI Platform Engineer: Scale & Automate with Agents

Traba; New York (NY); On-site; USD 240,000 - 300,000; Full time

Benefits offered by this job

Startup equity

Competitive salary

Health, dental & vision coverage

DoorDash meals & DashPass

Commuter benefit

Gympass

One Medical

HSA via Optum

Talkspace

Teledoc Health

Job summary

Traba is hiring for a platform-engineering role on the founding team in New York. You’ll shape the architecture and own core backend services, APIs, and data models to run AI-assisted staffing at scale across millions of shifts.

The role emphasizes real-time matching, autonomous vetting pipelines powered by ML, and a commitment to performance, reliability, and scale in a fast-growing startup.

Qualifications

• 7+ years of experience with TypeScript/Node.js or Python, PostgreSQL, and messaging (Kafka or RabbitMQ).
• Track record of shipping and leading projects at scale with high velocity.
• Experience building or integrating AI/LLM systems in production is a plus, but leadership judgment is key.
• Comfort owning ambiguity and direction in an early-stage environment.

Responsibilities

• 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.

Skills

TypeScript/Node.js

Python

PostgreSQL

APIs

Data modeling

Distributed systems

Real-time matching

AI/LLM systems

Tools

Kafka

RabbitMQ

Job description

Traba is hiring for a platform-engineering role on the founding team in New York. You’ll shape the architecture and own core backend services, APIs, and data models to run AI-assisted staffing at scale across millions of shifts.

The role emphasizes real-time matching, autonomous vetting pipelines powered by ML, and a commitment to performance, reliability, and scale in a fast-growing startup.