Software Engineer

ReadyOn AI
San Francisco, CA

ReadyOn Fullstack Software Engineer

ReadyOn.ai | Onsite at San Francisco HQ

Role Overview

ReadyOn is an AI-native Labor Operating System redefining how Fortune 250 enterprises manage 2.7 billion frontline workers. We are hiring a Fullstack Software Engineer to architect and build the foundational systems that bridge high-performance distributed backends with real-time, intuitive collaboration interfaces.

You will be a hands-on builder working at the intersection of market-design economics and deep AI integration to solve one of the world's hardest optimization problems: matching labor supply and demand in real time.  This role requires 5 days in office.

What We’re Looking ForCore Skill Requirements
  • Startup DNA: Experience architecting or scaling systems in a fast-paced, high-growth environment. TypeScript Mastery: Expert-level proficiency across the full stack.  
  • Data Architecture: Advanced PostgreSQL knowledge (schema design, performance tuning, concurrency) and deep experience with GraphQL (including federated subgraphs).
  • System Design: Strong fundamentals in building distributed systems; comfortable moving from zero-to-one in ambiguous environments.


Bonus Experience
  • Real-time coordination systems 
  • Event-driven architecture and event sourcing.
  • Graph processing and AI-agent integration.
  • NestJS (Backend) and modern React patterns (Frontend).
Expected Technical Focus
  • Full-Cycle Ownership: Architecting end-to-end features from database schema to UI implementation.
  • Performance at Scale: Optimizing API latency and frontend state management for massive enterprise datasets.
  • Reliability: Designing for high concurrency and complex labor-matching logic.
  • Collaborative Design: Working closely with product and AI researchers to translate economic principles into functional software.
Why Join ReadyOn.ai
  • Massive Impact: Own critical architecture for a product used by F250 enterprises managing billions in labor spend.
  • World-Class Team: Collaborate with a Nobel Laureate advisor and a founding team of startup veterans and former engineering leaders from Google Cloud, Meta, Stanford AI Lab, and Deloitte.
  • Breakout Phase: Join a Series A company that grew 8x in 2025 with a $30B+ TAM.
  • Zero Bureaucracy: A high-autonomy, founder-led environment where engineering excellence drives the mission.
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