AI Engineer

Here’s what you’ll do:

• Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows.
• Work with a small team to quickly iterate and ship new products and features.
• Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility
• Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.
• Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you.
• Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively.

Here are the skills you should have:

• Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects.
• The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.
• Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.
• Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest.
• Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects.
• Excellent communicator and team player with strong English language skills if not a native speaker yourself.

Bonus if you have:

• Background or expertise in education and / or development of educational technology.
• Experience in product management, user testing, and rapid iteration.

What you get working with us:

• Being part of a world-class team of education and AI experts trying to change the world.
• Work across cultural and geographical lines alongside our offices in different parts of the world.
• The opportunity to be exceptionally creative with your high-impact ideas.