Posted today · be early
AI Product Engineer
MarcoPolo Learning
IndiaremotePosted 1 day ago
Skill Required
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Key highlights
- Engagement: Contract-to-hire (3 months then ongoing)
- Experience: 5–8 years full-stack software engineering
- Location: Remote India-based (Bengaluru preferred)
- Key Requirement: Must have shipped a production LLM application
- Benefit: Direct collaboration and influence with the CEO
- Key Requirement: Daily overlap with UK and US teams
Role overview
MarcoPolo Learning is a leading provider of innovative content, technology, and instructional support for early childhood education, known for the MarcoPolo World School app and The Polos TV series. They are seeking an AI Product Engineer to partner closely with the CEO to shape and develop Audrey, their AI Teaching Companion & Coach for early-learning educators. The ideal candidate builds with AI by default, cares deeply about the product, and can turn ideas into clear decisions and end-to-end builds alongside a small, collaborative engineering team. This role is for someone who leads through clarity and trust, helping the entire team perform their best work.
Responsibilities
- Partner with the CEO on product direction: shape priorities, test assumptions, and turn ideas into clear, buildable plans.
- Design and build AI features end to end, including prompts and agents, retrieval, and the experience around them.
- Put evaluation and testing in place so AI quality is measurable and keeps improving.
- Ship full-stack features across front end, back end and cloud deployment.
- Work hand in hand with fellow engineers: share context, pair on problems, and help everyone get more from AI tools.
- Communicate progress, risks and trade-offs early and clearly.
- Build with privacy and safety in mind, including FERPA/COPPA alignment.
- First 30 days: learn the product, the teachers who use it and the team; get hands-on and ship a first improvement.
- By 60 days: own a meaningful part of the AI experience and deliver improvements on agreed timelines.
- By 90 days: help shape the next phase of the product roadmap with the CEO.
Requirements
- 5–8 years of full-stack software engineering: React/TypeScript front end; Node.js or Python back end; AWS.
- You’ve 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.
- An AI-native way of working: you use AI tools every day and can show the speed it gives you.
- Leadership capability: you’ve owned a product area or driven product decisions, and you influence through ideas, trust and collaboration.
- A genuine product mindset: you’re curious about the teachers who use what you build, and you let that shape your work.
- A collaborative style: you make the people around you better and handle different viewpoints with tact.
- Self-directed: you move work forward with minimal oversight and speak up early when things go off track.
- Clear written and spoken English; comfortable 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 at this time.
Nice to have
- 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 at the intersection of education, media, and technology.
Additional details
- Location: Remote (India-based), Bengaluru preferred, with daily overlap with our UK and US teams
- Engagement Type: Contract-to-hire, 3 months then ongoing
- Reports to: CEO
- Be ready to walk us through an LLM feature you shipped: what you decided, how you built it, how you measured quality, and what you’d do differently.
- The process includes a paid take-home build exercise (AI tools encouraged). Sanitized examples are welcome; please don’t share confidential employer or customer information.
- MarcoPolo Learning is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
- Originally posted on Himalayas
