Senior Software Engineer - AI Infrastructure

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AI Summary

Join a fast-growing GenAI consumer startup as a Senior Software Engineer to own critical systems, help shape the next generation of AI-native products, and work directly with the CTO. This role requires end-to-end ownership, high E2E responsibility, and a strong background in AI, infrastructure, and distributed systems. Ideal candidates will have experience building real systems at scale, owning both frontend and backend, and thriving in intense, talent-dense environments.

Key Highlights
Orchestrating hundreds of GPUs to serve millions of image generations per day
Productionizing LoRAs and in-house models for 10–100M users
Designing retrieval + evaluation loops and owning model behavior in production
Key Responsibilities
Orchestrating hundreds of GPUs to serve millions of image generations per day
Productionizing LoRAs and in-house models for 10–100M users
Designing retrieval + evaluation loops and owning model behavior in production
Technical Skills Required
TypeScript Next.js React TailwindCSS tRPC Postgres Temporal custom GPU workflows Planetscale Vercel Porter Graphite Datadog
Benefits & Perks
Full Visa Sponsorship
Onsite in Sydney
Bootstrapped, profitable, and scaling rapidly
Nice to Have
Shipped something independently
Trained your own LoRAs or custom diffusion models
Contribute to niche open source

Job Description


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 Different

This 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, Temporal

Infra: 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, Temporal

Infra: custom GPU workflows, Planetscale, Vercel, Porter, Graphite, Datadog


Who These Roles Are For

Engineers 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.


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