Staff Software Engineer (Applied AI)

Description

The company is building an AI operating system for the industrial supply chain, covering the warehouses, manufacturers, logistics providers and workers that move physical goods.

It began with labor, placing temporary workforces with industrial businesses, and grew into one of the fastest-growing staffing companies in America.

Its AI agents now help logistics providers, manufacturers, 3PLs and other industrial companies automate manual work, pull insight from data streams and sharpen decisions.

Backed by Founders Fund, Khosla Ventures and General Catalyst.

You will build the product on top of AI agents and help define how the team does that. Frontier models and existing agents will be applied across the staffing marketplace to automate sourcing, vetting, matching and placing workers on millions of shifts. You will also own the core backend services and the platform underneath them.

The AI Agents team builds the agent platform. Your job is to make it work across the full stack.

This is mainly a platform engineering role. Priorities shift: one quarter it may be the infrastructure agents need, the next a matching, data or scaling problem.

You will join the founding team, work with the CTO on major architecture decisions, shape the roadmap and build a platform meant to scale for several years.

Responsibilities

• Set the approach for applying agents across the stack to automate the staffing pipeline, and set how the team uses AI-assisted tools in its own work.
• Design and lead core systems, from real-time matching to autonomous vetting pipelines that combine ML and agents.
• Own the platform architecture, planning one to two years ahead of what the company will need.
• Improve backend performance, reliability and scale.

Requirements

• You have a high bar for your own work. You have wired frontier models and existing agents into production software across the stack, and you can set that standard for the team.
• You do not need to build orchestration internals yourself, but you can get them running in production and know which shortcuts are safe at an early stage.
• You learn quickly and can move from API design to deployment infrastructure.
• You have deep full-stack experience, including APIs, data modeling, query optimization and distributed systems, and you have built fast, scalable applications.
• You have 7+ years with TypeScript/Node.js or Python, PostgreSQL, and messaging systems such as Kafka or RabbitMQ.
• You have shipped and led projects at scale, moving quickly.
• Experience building or integrating AI/LLM systems in production is a plus. Judgment about how to lead the team into that work matters more.
• You are comfortable owning unclear problems and setting direction in an early-stage company.

Conditions

The compensation range is $240,000 to $300,000, based on market analysis and other factors.

Exceptions may be made for candidates whose qualifications differ significantly from the job description.

Benefits

• Startup equity
• Competitive salary
• 100% paid health, dental and vision coverage
• Dinner through DoorDash, free DashPass and a stocked kitchen for New York employees
• Commuter benefit
• Gympass membership
• Additional perks: One Medical membership, Gympass, HSA through Optum, Talkspace, HealthAdvocate and Teledoc Health