Applied AI Engineer

Responsibilities

You will build and maintain backend systems and agents that leverage LLMs to perform real-world tasks across devices. This involves developing APIs, managing data flow, and ensuring system reliability through rigorous evaluation and testing.

Requirements

The ideal candidate has a proven track record of shipping software and a strong backend-first mindset. You should be proficient in building with LLMs or agents and capable of learning new technologies quickly to solve complex engineering problems.

Skills

• Applied AI
• Backend Development
• LLMs
• Agentic Workflows
• Python
• JavaScript
• TypeScript
• Rust
• API Development
• System Architecture
• Concurrency
• Data Flow
• Cloud Computing
• On-device AI
• Software Testing
• Full-stack Development

About this role

ABOUT NOTHING

Nothing exists to make tech feel exciting again.

We’re building a different kind of technology company, one that puts design,
emotion, and human creativity at the heart of everything we do. From the way our
products look and feel to how we communicate and show up in culture, we believe
technology should make you feel something.

Founded in London in 2020, we’ve grown from idea to global challenger in just a
few years. Backed by GV (Google Ventures), EQT Ventures, and C Ventures, and
investors like Tony Fadell (iPod), Casey Neistat, and Kevin Lin (Twitch), we’re
now sold in 40+ markets with millions of users worldwide.

ABOUT THE ROLE

Applied AI Engineer

San Francisco · Full-time

AI should run on the devices you carry, work across all of them, and actually
get things done. That's a hard problem, and we're solving it from the operating
system up. Your job: turn what models can do into agents that get real things
done for people.

It's hands-on and backend-first, and full-stack when it needs to be. One week
you're prototyping something new. The next, you're making it reliable enough to
ship. We're open on seniority, what matters is what you've built, how you think
and how fast you learn.

What you'll do

* 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 our on-device AI and systems engineers to plug agents into the
platform

* Write evals against real tasks, chase down every failure and ship the fix

* Own the task end to end, frontend included

* Build with coding agents every day, and know when your own judgment should
win

What you'll bring

* You've shipped working software: at a job, in your own projects or in open
source

* A backend-first mindset: services, APIs, concurrency, storage and how data
moves through a system

* You've built with LLMs or agents, or can show us you'd pick them up fast and
use them on a real problem

* You can take a vague idea and turn it into something that works

* You learn by building, testing and breaking things

* You like small teams where everyone builds

Nice to have

Shipped agent products, full-stack products or distributed backend systems.
Python, JavaScript/TypeScript and Rust are all relevant, but strong fundamentals
matter more than a list of frameworks.

Location

San Francisco, we are open to remote for the right person, with regular time in
person with our SF team.

Nothing offers excellent benefits and competitive compensation packages. The
base salary pay range for this role is $159,000–$242,000 USD. Nothing is an
equal opportunity employer and is committed to inclusion, diversity, and equity
in the workplace. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, national origin,
disability status, protected veterans’ status, or any other characteristic
protected by federal, state, or local laws.