AI Product Engineer
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Job Description
AI Product Engineer building Audrey, MarcoPolo Learning’s AI teaching companion for early-childhood educators. Shipping full-stack LLM features across React, Node.js/Python, and AWS.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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
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