AI Product Engineer

5+ years of industry experience in product-focused full stack or backend engineering. Proficiency in React/TypeScript, Python, GraphQL. Hands-on experience building and deploying LLM-powered applications in production. Familiarity with tools and concepts like RAG, prompt engineering, evaluation frameworks, and LLMOps best practices. A strong sense of product intuition and user empathy, especially in educational contexts. Excellent communication and collaboration skills.

Designing and building AI-powered learning experiences that integrate LLMs into Mathspace’s student and teacher-facing apps. Prototyping, testing, and deploying LLM-based features, such as math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools. Working across the stack using React, TypeScript, Python and GraphQL. Experimenting with prompting, RAG, vector search, and fine-tuning strategies to optimize for student learning outcomes. Collaborating with our curriculum and pedagogy teams to ensure our AI experiences are pedagogically sound and aligned with our educational values. Contributing to our AI infra and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools. Thinking creatively and critically about what LLMs should and shouldn't do in an educational context—and designing safeguards accordingly.