AI Developer

TripleTen; Remote; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A technology education company is seeking an AI Developer to enhance personalized learning through AI-driven tools. You will design backend services using LLMs and external APIs, and collaborate with a dynamic team. The ideal candidate has strong backend engineering skills, experience with AI integration, and a product-oriented mindset. The role offers fully remote, full-time collaboration in a supportive environment focused on innovation and minimal micromanagement.

Leistungen

Professional freedom

Dynamic global team

Seamless collaboration tools

Qualifikationen

• Experience working with LLMs and external AI APIs.
• Familiarity with RAG-like patterns, embeddings and vector databases.
• Ability to translate product goals into robust AI features.
• Solid experience in Python (FastAPI) or a similar backend stack.
• Comfort moving fast, experimenting and iterating with teams.
• Experience setting up monitoring, logging and fallback strategies.

Aufgaben

• Build and ship AI-driven features that personalize the learning experience.
• Design and implement backend services integrating LLMs and external APIs.
• Prototype and validate new AI-powered features.
• Define and refine how AI behaves in the product.

Kenntnisse

AI integration

Retrieval and data flow

Product mindset

Strong backend engineering

Prototyping and iteration

Observability and stability

Tools

Python (FastAPI)

OpenAI

LangChain

LlamaIndex

Jobbeschreibung

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.

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.

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, 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 a 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.