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# AI Engineer

- **Company:** TWENTY-EIGHTY CORP.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, OpenAI, Speech Recognition, Large Language Models, Backend, Front End Software Development, Model Inference, Data Pipelines
- **Published:** October 19, 2026
- **Apply:** https://www.juju.com/job/15_9a91ee384

## About the Role

* 3+ years building production AI systems, ideally in fast-moving environments or as a founder.
 * Extensive experience with LLM inference (OpenAI, Anthropic, Llama, etc.).
 * Strong product sense.
 * Comfortable working across the stack (frontend, backend, etc.) to get features shipped.
 * Obsessed with speed, ownership, and getting real user feedback.

This is a remote position, although Bay Area residents are encouraged to work from the client's SF office.

Nice to Haves

 * Experience with ASR systems (e.g. Whisper).

Seniority

2 to 6 years of experience as a software engineer, with AI and LLM-focused product work.

Work experience

 * Must have built complex AI applications end-to-end (LLM inference work, agent products, etc.).
 * Experience in a fast-moving startup or as a founder.

Education

CS undergraduate degree from a four-year university.

Hard skills

 * Able to work across the stack (frontend, backend, infra) to problem solve and ship features.
 * Applied-AI literacy. Can reason about evals, statistics, and the non-determinism of LLM systems.
 * Familiarity with SOC-2 or sensitive data pipelines.

Soft skills

Obsessed with speed, ownership, and getting real user feedback.

Traits to avoid

Lack of progression in role after 2 to 3 years.

## Description

This is a full-time onsite position. You will work five days a week from our client's office in San Francisco, collaborating in person with PMs, designers, and the GTM team to ship fast and stay close to the work.

This is a deeply technical role that blends ML, product thinking, and engineering. You will build and own production services that rely on LLMs and speech models.

What you'll do

 * Develop and own end-to-end AI applications across a range of workflows, from copilots to automation tooling and beyond.
 * Improve our client's LLM-powered platform, used daily by thousands of users.
 * Build and optimize inference pipelines and real-time speech recognition systems.
 * Collaborate closely with PMs, designers, and GTM teams to iterate rapidly and launch high-impact features.