AI Developer

Were building an AI Tutor a personalized learning system that adapts educational content and learning paths for each student.

Were 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.

Youll 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.

Together you will:

• 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.

• 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 managements 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