AI Product Engineer

A superhuman, AI-powered language tutor in your pocket
$140,000 - $250,000
Full-Stack
Senior Software Engineer
In-Person
11 - 50 Employees
6+ years of experience

Description For AI Product Engineer

As an AI Product Engineer at Speak, you'll play a pivotal role in developing the future of language learning and creating the most effective path to language fluency. Your primary responsibility will be developing innovative product experiences powered by Language Learning Models (LLMs) and deploying them to millions of users.

Your tasks will span the full stack and beyond, from evaluating models and testing prompts to developing and iterating on various product features such as our conversational onboarding and lesson experiences, grammatical assessment and feedback, and personalized lessons.

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.

What you'll be doing:

  • 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

What we're looking for:

  • 3-5+ years of experience in full stack/backend, product-focused software engineering
  • Strong product intuition — the ability to think broadly and cross-functionally about innovative LLM-powered capabilities and product experiences
  • Ability to work independently and build at a high velocity
  • Interest in building with LLMs

Bonus:

  • You have real-world experience developing and deploying LLM apps and a strong understanding, gained through experience, 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)

Why work at Speak:

  1. Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've raised our Series B and an additional extension from some of the top investors in the valley, and we've achieved product-market fit in our initial markets.
  2. Do your life's work with people you'll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day.
  3. Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo.
  4. Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and we're helping millions of people achieve their goals and improve their lives.
Last updated 5 months ago

Responsibilities For AI Product Engineer

  • Developing and deploying LLM-powered language learning products across the full stack
  • Enhancing the quality and performance of existing AI-powered features
  • Collaborating cross-functionally with other teams
  • Refining process for building LLM apps
  • Scaling existing product features to more users and languages

Requirements For AI Product Engineer

Python
JavaScript
  • 3-5+ years of experience in full stack/backend, product-focused software engineering
  • Strong product intuition
  • Ability to work independently and build at a high velocity
  • Interest in building with LLMs

Interested in this job?

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