Senior AI Platform Engineer - Real-Time Matching

Worky

New York (NY)

On-site

USD 200,000 - 300,000

Full time

14 days+

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Job summary

Worky is a fast-growing AI-powered staffing marketplace seeking a senior/staff engineer to shape production systems at the intersection of applied AI and core platform engineering.

You will help define how frontier models and autonomous agents are wired into production across the full product—from worker sourcing to real-time shift matching—and partner closely with the CTO on foundational architectural decisions.

Qualifications

  • 5-10+ years of engineering experience, with 3+ years shipping features at early-stage startups.
  • Deep proficiency in Python and/or TypeScript/Node.js; ability to design APIs and data models.
  • Hands-on experience building 0-to-1 agentic AI products, including harnesses and evals.
  • Experience in agentic/applied AI, matching/marketplaces, or multi-sided platforms.
  • Strong frontend experience with React/React Native across web and mobile.

Responsibilities

  • Define how AI agents are applied across the stack to automate staffing pipelines.
  • Architect and lead core systems, including real-time matching engines and vetting pipelines.
  • Own platform architecture with a multi-year horizon for infra, reliability, and scale.
  • Design agent harnesses, orchestration patterns, evaluation infra, and model strategy.
  • Integrate with customers' systems (HRIS, WMS, ERP) and run autonomously within workflows.
  • Drive backend performance through API design, data modeling, and query optimization.
  • Build and maintain frontend interfaces (web and mobile) integrated with backend services.
  • Set team standards for AI-assisted tooling and agentic development patterns.

Skills

Python
TypeScript/Node.js
Distributed systems
API design
PostgreSQL
Kafka/RabbitMQ
Agentic AI
Front-end (React/React Native)
Cloud/DevOps
System architecture

Job description

Worky is a fast-growing AI-powered staffing marketplace seeking a senior/staff engineer to shape production systems at the intersection of applied AI and core platform engineering.

You will help define how frontier models and autonomous agents are wired into production across the full product—from worker sourcing to real-time shift matching—and partner closely with the CTO on foundational architectural decisions.

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