Applied AI Engineer: Build On-Device Agents & Backends

Nothing

San Francisco (CA)

Hybrid

USD 159,000 - 242,000

Full time

6 days ago
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Job summary

Nothing is seeking an Applied AI Engineer in San Francisco or remote-eligible for the right candidate. The role emphasizes building agents that complete real tasks, developing the on-device and cloud backend, and solving complex backend challenges.

You will work with our AI and systems teams to integrate agents into the platform and push end-to-end delivery. The candidate will ship with a backend-first mindset using Python, JS/TS, and possibly Rust, with a bias toward practical, high-impact

Qualifications

  • Shipped working software in professional, personal, or open-source projects.
  • Backend-first mindset focusing on services, APIs, concurrency, storage, and data flow.
  • Experience with LLMs or agents or quick to learn and apply them to real problems.

Responsibilities

  • Build agents that use tools, data and app capabilities to finish real tasks.
  • Build the backend they run on: services, APIs, storage, and sync between devices and the cloud.
  • Solve the hard backend problems: concurrency, state and data flow across services and devices.
  • Work with on-device AI and systems engineers to plug agents into the platform.
  • Write evals against real tasks, chase down failures and ship fixes.
  • Own the task end to end, frontend included.
  • Build with coding agents daily and know when your own judgment should win.

Skills

Backend-first mindset
LLMs/agents experience
Problem solving
Fast learner
Team collaboration

Tools

Python
JavaScript/TypeScript
Rust

Job description

Nothing is seeking an Applied AI Engineer in San Francisco or remote-eligible for the right candidate. The role emphasizes building agents that complete real tasks, developing the on-device and cloud backend, and solving complex backend challenges.

You will work with our AI and systems teams to integrate agents into the platform and push end-to-end delivery. The candidate will ship with a backend-first mindset using Python, JS/TS, and possibly Rust, with a bias toward practical, high-impact

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