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.
What you will do:
You’ll join a cross-functional team of experienced backend and frontend engineers, ML specialists, and UX/UI designers building a new generation of AI-powered learning tools.
- Build and ship AI-driven features that personalize the learning experience for thousands of TripleTen students across the US and Latin America.
- Design and implement backend services that integrate LLMs, retrieval systems, and external APIs into a seamless educational experience.
- Prototype and validate new AI-powered features, then evolve successful experiments into scalable, production-grade systems.
- Define and refine how AI behaves in the product — from context construction and tool usage to evaluation and monitoring.
What we can offer you:
- Fully remote and full-time collaboration with professional freedom and minimal micromanagement;
- Dynamic Team: Join a diverse, global team with experience across tech, ed-tech, and various industries;
- We use digital tools like Miro, Notion, and Google Workspace for seamless collaboration;
*At this time, we are unable to offer H-1B, L-1A/B sponsorship opportunities.
**This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.
**TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, age, religion, disability, marital status, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.
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.
Nice to have
- Experience with frameworks like LangChain, LlamaIndex.
- Experience building conversational or agentic systems
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