AI Product Engineer

Speak
San Francisco
Workplace: RemoteFull timeUSD 170,000 - 280,000 annuallyFunction: Data Science & Machine LearningExperience: 3-5 yearsSkills: ["Communication","Collaboration","Problem-solving","Ambitious","Product mindset"]

Develop and deploy AI-powered language learning features powered by LLMs across the full stack, focusing on onboarding, grammar feedback, and personalized lessons. Collaborate with ML, product, design, and content teams to improve performance, experimentation, and LLM Ops. Scale features to more users and languages in a fast-growing AI language learning product.

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FursaFursa
Speak
Speak
2 years ago

AI Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Develop and deploy AI-powered language learning features powered by LLMs across the full stack, focusing on onboarding, grammar feedback, and personalized lessons. Collaborate with ML, product, design, and content teams to improve performance, experimentation, and LLM Ops. Scale features to more users and languages in a fast-growing AI language learning product.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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
  • •Evaluate models and prompts to improve learning experiences and feedback quality

Pay and Benefits

Salary: USD 170,000 - 280,000 annually
Equity and Bonus:Equity
Perks:EquityRemote Work

Key Requirements

  • •3-5+ years of experience in full stack/backend, product-focused software engineering
  • •Proficiency in React/Node/Typescript and Python
  • •Real-world experience developing and deploying LLM apps and understanding what works and what doesn’t
  • •Experience with LLM Ops and tools (e.g., vector databases, RAG, prompt ops)
  • •Ability to work independently and build at a high velocity
Experience:3-5 yearsLanguage learningAIEdtech
Skills:CommunicationCollaborationProblem-solvingAmbitiousProduct mindset
Tech Stack:ReactNode.jsTypescriptPythonLLMsVector databasesRAGPrompt ops

Company Brief

Speak
Provides conversational English practice through live tutors and AI-enhanced lessons, offering personalized language coaching via mobile and web to help professionals and learners improve speaking skills and workplace communication.
Industry: EdTech
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