AI Engineer
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Role details
Tech stack
Job 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.
Requirements
- 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.
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Prepare application
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