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AI Product Engineer
MarcoPolo Learning. Partner with the CEO on product direction, priorities, assumptions, and buildable plans .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack software engineering with a focus on AI feature development, including prompt and agent design, while ensuring compliance with privacy standards like FERPA and COPPA. Proven ability to collaborate effectively across teams and communicate clearly in both written and spoken English.
Highest-signal resume keywords
Full-Stack Software EngineeringReact/TypeScript Front-End ExperienceNode.js or Python Back-End ExperienceAWS ExperienceLLM Application Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Full-Stack Software EngineeringReactTypeScriptNode.jsPythonAI Feature DevelopmentPrompt DesignAgent DesignRAG (Embeddings, Vector Search, Re-Ranking)LLM Output Quality Evaluation
Soft Skills
Collaborative StyleSelf-DirectedClear CommunicationTactful Handling of ViewpointsGenuine Product Mindset
Tools & Technologies
AWSAI Tools
Industry Keywords
FERPACOPPAEd-TechEarly-Childhood ExperienceEarly-Stage Startup Experience
Tech Stack
Tools & technologiesAWSCloudJavaScriptNode.jsPythonReactTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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