Speak
AI Product Engineer
San Francisco
Sponsorship not specifiedDetected 1037 days ago
TypeScriptPythonReactNode.jsFull-Stack DevelopmentVector DatabasesMachine LearningLLMsRAGLLMOpsA/B Testing
About the role
- We're constantly pushing the boundaries of what LLMs can do to provide an exceptional and unparalleled language learning experience to users in over 30 countries worldwide.
- Scaling existing product features to many more users and languages
Responsibilities
- Collaborating cross-functionally with other Engineering teams, Applied ML, Product, Design, and Content
- Refining our process for building LLM apps, including best practices for prompting, experimentation/evaluation, LLM Ops, measuring quality and performance, etc.
Requirements
- 3-5+ years of experience in full stack/backend, product-focused software engineering
- Proficiency in React/Node/Typescript and Python
- You have real-world experience developing and deploying LLM apps and a strong understanding, gained through experience, of what works and what doesn't
- Experience with LLM Ops and tools (e.g., vector databases, RAG, prompt ops)
- Strong product intuition - the ability to think broadly and cross-functionally about innovative LLM-powered capabilities and product experiences
Benefits
- Developing and deploying LLM-powered language learning products across the full stack, as well as enhancing the quality and performance of existing AI-powered features within Speak
Company info
- Our mission is to reinvent the way people learn, starting with language.
- Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.
- Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
- Learning a language can change a life by opening doors to new cultures, careers, and communities.
- Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades.
- Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons.
- The result is a complete path from beginner to confident speaker across multiple languages.
- Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages.
- Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
- we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets.
- You'd join at a magical time when a single person could significantly change the course of the company.
This listing is sourced directly from Speak's careers page and normalized into a canonical job model.