Full-Stack Engineer, AI Products — Own the Tech

Mosaic.tech

San Francisco (CA)

On-site

USD 300,000 - 475,000

Full time

14 days+
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Job summary

Thinking Machines, based in San Francisco, is hiring a Full Stack Engineer to conceive, build, and ship AI-powered products from the ground up.

You’ll be the first engineer on new ideas, owning technical direction and product outcomes while partnering with researchers, designers, and product teams. This role emphasizes rapid prototyping and end-to-end ownership, delivering value to real users in weeks rather than quarters.

Qualifications

  • 5+ years of professional software engineering experience.
  • Ownership across frontend and backend systems.
  • Proven track record shipping production web applications end-to-end.
  • Comfort in ambiguous, fast-changing environments.
  • Experience making pragmatic technical tradeoffs to move quickly without accumulating risk.

Responsibilities

  • Design, build, and ship full-stack features across web apps (backend to frontend).
  • Prototype rapidly using model capabilities to create usable product experiences.
  • Move ideas from concept to live surface for real users, iterating on feedback.
  • Collaborate with researchers to translate model behavior into product decisions.
  • Partner with design and product to define what to build, not just how.
  • Own the architecture, focusing on scalability, reliability, and maintainability.
  • Help define engineering practices and coding standards for the team.

Skills

Full-stack engineering
Frontend & Backend
Production web apps
Ambiguity navigation
Tradeoff decisions
Research collaboration
LLM-based products

Job description

Thinking Machines, based in San Francisco, is hiring a Full Stack Engineer to conceive, build, and ship AI-powered products from the ground up.

You’ll be the first engineer on new ideas, owning technical direction and product outcomes while partnering with researchers, designers, and product teams. This role emphasizes rapid prototyping and end-to-end ownership, delivering value to real users in weeks rather than quarters.

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