Founding AI Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Founding AI Engineer San Francisco | OnSite We're hiring a Founding AI Engineer to build the intelligence layer for the leading AI companion for language learning. You'll own the core AI systems powering personalized conversations for millions of users. Language learning shouldn't feel like an app - it should feel like talking to someone who knows you: remembers what you struggled with last week, adapts in real time, and responds instantly. Building that means solving hard systems problems at consumer scale: long-term memory, real-time speech, sub-second latency, adaptive dialogue, and personalized content. About Pingo Pingo helps 3,000,000+ users build fluency through real conversations. Since launching in January 2025, we've grown to $7 million ARR with ~50% MoM growth. Backed by Y Combinator and top investors, we're building a small, talent-dense team obsessed with product quality and engineering rigor. What You'll Do In one sentence: Build the systems that make Pingo the default way people learn languages. - Define and own our AI architecture and roadmap, and build the AI team as we scale. - Architect memory & personalization - design scalable long-term memory and retrieval, build a content engine that generates structured, high-novelty conversations. - Improve speech & conversation intelligence - optimize ASR feedback, turn-taking, and dialogue flow to make interactions feel natural. - Own AI evals & experimentation system - build prompt simulations, golden datasets, and regression systems to measure conversation quality. - Optimize real-time performance - drive sub-200ms latency and systems that scale efficiently across millions of conversations.

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.