AI Product Engineer

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Company Overview

The organization’s 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.

The organization 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.

The company first launched in South Korea in 2019 and has since become the number one language learning app in the market, serving learners across many markets and 15+ languages. It is one of the world’s leading AI companies, with over $150m raised in venture investment from leading investors, and has a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

The compensation philosophy is based on work experience, interview performance, leveling, and other factors evaluated during the hiring process.

About the Role

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

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

The organization is 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.
• Collaborating cross-functionally with other Engineering teams, Applied ML, Product, Design, and Content.
• Refining the process for building LLM applications, including best practices for prompting, experimentation and evaluation, LLM Ops, measuring quality and performance, and related practices.
• 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.
• Proficiency in React, Node, TypeScript, and Python.
• Real-world experience developing and deploying LLM applications, with a strong understanding gained through experience of what works and what does not.
• A keen intuition for improving the performance and output quality of LLM systems.
• Experience with LLM Ops and related tools, such as vector databases, RAG, and prompt operations.
• Strong product intuition, with 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.

Disclaimer

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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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