Pingo AI Verified
Software, Artificial Intelligence, Field Service Management
Founding AI Engineer
San Francisco, California, United StatesOnsiteFull Time$180,000–$250,000 /yrPosted 1 month agoHidden Gem · YC Startup
Role summary
Pingo is seeking a Founding AI Engineer to build the core AI systems for their language learning platform, which serves over 3 million users. This role involves defining and owning the AI architecture, roadmap, and team as the company scales. Key responsibilities include architecting long-term memory and personalization systems, improving speech and conversation intelligence, developing an AI evaluation and experimentation framework, and optimizing for sub-200ms latency. The ideal candidate thinks in systems, maintains a high engineering bar, possesses strong product judgment, and runs rigorous experiments to optimize quality, latency, and cost.
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 **$6 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.
* Tie intelligence directly to retention — build systems and metrics that measurably improve D1/D7/D30 engagement.
**You might be a great fit if you:**
* Think in systems. Understand how memory, latency, evaluation, and UX interact.
* Set a high engineering bar — nothing ships broken.
* Strong product judgement — you build features that feel instant and magical.
* Run rigorous experiments and measure tradeoffs across quality, latency, and cost.
* Detail-oriented & obsessed with quality – care deeply about stability, polish, and learning impact.
**About the job:**
* In-person in SF w/ founders
* $180k-250k cash comp + 0.5-1.5% equity
* Healthcare + meals + Equinox
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 **$6 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.
* Tie intelligence directly to retention — build systems and metrics that measurably improve D1/D7/D30 engagement.
**You might be a great fit if you:**
* Think in systems. Understand how memory, latency, evaluation, and UX interact.
* Set a high engineering bar — nothing ships broken.
* Strong product judgement — you build features that feel instant and magical.
* Run rigorous experiments and measure tradeoffs across quality, latency, and cost.
* Detail-oriented & obsessed with quality – care deeply about stability, polish, and learning impact.
**About the job:**
* In-person in SF w/ founders
* $180k-250k cash comp + 0.5-1.5% equity
* Healthcare + meals + Equinox
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