AI Product Engineer

• Partner with the CEO on product direction, priorities, assumptions, and buildable plans
• Design and build AI features end to end, including prompts, agents, retrieval, and user experience
• Establish evaluation and testing to measure and improve AI quality
• Ship full-stack features across front end, back end, and cloud deployment
• Collaborate with engineers by sharing context and pairing on problems
• Help the team get more value from AI tools
• Communicate progress, risks, and trade-offs early and clearly
• Build with privacy and safety in mind, including FERPA/COPPA alignment
• Learn the product, teachers, and team, then ship an initial improvement within the first 30 days
• Own a meaningful part of the AI experience and deliver improvements by 60 days
• Help shape the product roadmap with the CEO by 90 days

• 5–8 years of full-stack software engineering experience
• React/TypeScript front-end experience
• Node.js or Python back-end experience
• AWS experience
• Personally built and shipped at least one production LLM application used by real users
• Hands-on experience with prompt and agent design, RAG (embeddings, vector search, re-ranking), and evaluating LLM output quality
• Daily use of AI tools
• Experience owning a product area or driving product decisions
• Genuine product mindset and curiosity about teachers and users
• Collaborative style and ability to handle different viewpoints with tact
• Self-directed, able to move work forward with minimal oversight
• Clear written and spoken English
• Comfortable working with technical and non-technical colleagues across UK and US time zones
• Applicants must have the right to work in India; visa sponsorship is not available
• Bonus: ed-tech or early-childhood experience; FERPA/COPPA familiarity; early-stage startup experience

• Fully remote role with flexibility over how you structure your day
• Ownership of the AI experience in a flagship product, with real influence over its direction
• Direct work with the CEO and a real voice in product decisions
• A collaborative, family-friendly, mission-driven environment
• Paid take-home build exercise