AI Product Engineer
San Francisco$140k - $250kfull-timePosted 11mo ago
About the role
Developing and deploying LLM-powered language learning products, enhancing AI features, and collaborating cross-functionally to improve performance and scaling of language learning capabilities.
Responsibilities
- 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
- 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.
- Scaling existing product features to many more users and languages
Qualifications
- 3-5+ years of experience in full stack/backend, product-focused software engineering
- Real-world experience developing and deploying LLM apps and a strong understanding of what works and what doesn't
- A keen intuition for improving performance and output quality of LLM systems
- Experience with LLM Ops and tools (e.g., vector databases, RAG, prompt ops)
- Strong product intuition—ability to think broadly and cross-functionally about LLM-powered capabilities and product experiences
- Ability to work independently and build at a high velocity
Skills
Required:Full stack developmentLLM deployment and optimizationPrompt engineeringCross-functional collaboration
Benefits
- Not explicitly listed in the description
Last updated Mar 18, 2026. Interested? Apply on the company site.
About Speak
A superhuman, AI-powered language tutor in your pocket
artificial-intelligenceeducation
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