AI Engineer

Posted 12 Days Ago
San Francisco, CA
In-Office
125K-250K Annually
Mid level
Artificial Intelligence • Software
What if the future was already here?
The Role
The AI Engineer role involves building intelligent systems, solving ambiguous research problems, and shipping innovative solutions in AI applications. Responsibilities include developing models, creating scalable systems, and personalizing AI agents.
Summary Generated by Built In

Anything

Anything is the AI product engineer for the next wave of entrepreneurs. It's an AI agent that turns English into apps. Everything you need make money on the internet built in - mobile, web, design, AI, backend, infra, payments. Launched Aug 7th. https://x.com/anythingai Hit $2m rev in 2 weeks. Try it at createanything.com

Role

AI engineers build the systems that make Anything intelligent. Often it involves staring down ambiguous research problems - and shipping clever applied ways of solving them.

Example projects you'd own

  • Context engineering and fine tuning + post training code gen or design gen models

  • Build retrieval system that scales to 10,000,000 files

  • Invent agentic techniques to autonomously solve compile or runtime errors + automatically refactor codebases as they scale

  • Ship a memory system that personalizes the Anything agent to user or project context across time

Ideal background

  • Strong engineer or applied researcher (typically 4-6 years). If you've built something people love, years are irrelevant.

  • Confidence designing, training, or wielding LLMs or ML systems. Know when to make something new or use something that exists.

  • Prototype fast - and knack for turning promising prototypes into reliable systems

  • Deep curiosity for frontier AI research, with bias towards immediate applications

  • Don't compromise between going deep and shipping fast.

  • Strong prompt + context engineering intuition. Excellent at debugging AI behavior systematically.

  • Good at experiments: hypothesis, design, metric, eval, volume, signal.

  • Read a lot - strong attention to detail esp when it's boring (logs, thousands of lines of LLM inputs/outputs)

  • Strong product taste. Strong opinions on better or worse AI product experiences - and why.


Extra signal:

  • Prior experience as a founder or founding eng

  • Experience in code generation

  • Experience in design generation

  • Published papers or built reliable, fast AI products in production

  • Academic AI background

In all roles

We look for:

Intense. Ship fast. Cycles are hours, not weeks. Hard to outwork.

Ownership. Grab the #1 priority and relentless to deliver.

Fearlessness. Risk on. Do the unknown / uncomfortable. Say "good" to bad news.

Taste. First pass lands close to final. Synthesize feedback fast. Obsess over feel.

Play. Curiosity, joy, and energy show up in your work

Sound like you?

Come do the most meaningful work of your career.
Applying

Submit here and we'll reach out if it's a fit.


Note: we get 100s of low quality AI generated applications daily. We do want to meet you if you're excellent and really care.
If you want to stand out, after you submit, send resume + a short note to [email protected] w/ subject line "[Role] | Your Name" (bullets work!)

Top Skills

AI
Code Generation
Context Engineering
Design Generation
Llm
Ml
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The Company
HQ: San Francisco, California
556 Employees
Year Founded: 2021

What We Do

Text to App

Turn your words into mobile apps, sites, tools, and products - built with code. Add GPT-5 and 40+ integrations in an instant.

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