We're building an AI Tutor -- a personalized learning system that adapts educational content and learning paths for each student.
We're looking for an AI Developer with a strong backend background who can turn large language models into reliable, production-ready features that feel native within the learning experience.
Requirements:
AI integration. Experience working with LLMs and external AI APIs (OpenAI, Anthropic, Mistral, etc.); ability to orchestrate calls, manage context, caching, and prompt logic.
Retrieval and data flow. Familiarity with RAG-like patterns, embeddings, and vector databases to support retrieval-based personalization.
Product mindset. Ability to translate product goals into robust AI features, balancing performance, reliability, and cost.
Strong backend engineering. Solid experience in Python (FastAPI) or similar backend stack; understanding of distributed systems, APIs, and cloud deployment.
Prototyping and iteration. Comfort moving fast, experimenting, and iterating with cross-functional teams.
Observability and stability. Experience setting up monitoring, logging, and fallback strategies for production AI services.
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