Founding Engineer

Founding Engineers — Frontier AI, Real Scale, Real Ownership
🌍 Open globally — Full Visa Sponsorship provided to live and work in Sydney
Join one of the fastest-growing GenAI consumer startups globally — already Top 50 worldwide, bootstrapped, profitable, and scaling rapidly.This is not a concept or experiment — it’s real product, real users, and real revenue at massive scale.You’ll work directly with the CTO, owning critical systems and helping shape the next generation of AI-native products from first principles.
What Makes This DifferentThis is not “API-wrapping AI.”This team:

• Rents and orchestrates their own GPUs
• Builds and train custom diffusion models
• Scales infrastructure to serve million of users
• High E2E ownership. No silos. No passengers.

Stack:TypeScript, Next.js, React, TailwindCSS, tRPC, Postgres, TemporalInfra: custom GPU workflows, Planetscale, Vercel, Porter, Graphite, Datadog
The Problems You’ll Work On

• Orchestrating hundreds of GPUs to serve millions of image generations per day
• Productionizing LoRAs and in-house models for 10–100M users
• Scaling chat, image, video, and audio generation systems
• Designing retrieval + evaluation loops and owning model behavior in production
• Building real-time AI video infrastructure from scratch
• Hardening distributed systems at consumer scale

Stack:TypeScript, Next.js, React, TailwindCSS, tRPC, Postgres, TemporalInfra: custom GPU workflows, Planetscale, Vercel, Porter, Graphite, Datadog
Who These Roles Are ForEngineers who:

• Want founder-level responsibility
• Get things done end-to-end (idea → ship → iterate)
• Are comfortable owning both frontend + backend + model behavior
• Thrive in intense, talent-dense environments
• Have built real systems at scale
• Care about performance, latency, distributed systems, and infra

Backgrounds we get excited about:

• AI-driven content platforms
• Large-scale infra environments
• GPU orchestration or ML infra
• Model evaluation frameworks
• Performance-critical systems
• Startup founders / ex-CTOs / early engineers

Bonus signals:

• Shipped something independently
• Trained your own LoRAs or custom diffusion models
• Contribute to niche open source

The job is onsite in Sydney.