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AI Engineer Internship

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Deadline: 01/11/2026

Skills for this role

Skills we detected for this role.

  • Python
  • JavaScript
  • TypeScript
  • React
  • Next.js
  • Node.js
  • React Native
  • Flutter
  • PostgreSQL
  • Generative AI
  • Supabase
  • Vector Databases

Opportunity brief

We are looking for a curious, hands-on AI Engineer Intern who wants to build real-world applications using AI, modern development tools and automation.

You will work on developing AI-powered features for our apps and websites, building intelligent assistants, integrating external tools and APIs, and exploring MCP (Model Context Protocol) to connect AI models with real-world services.

This is a hands-on opportunity to build and deploy working products, not just experiment with prompts or generate code.

What You'll Work On

- Build AI-powered features for mobile apps and web applications. - Develop AI assistants and agents that can retrieve information, use tools and execute tasks. - Explore and implement MCP servers, clients and tool integrations. - Integrate LLMs such as OpenAI, Claude and open-source models into applications. - Work with APIs, databases, authentication and backend services. - Use AI-assisted coding tools to develop, debug, test and improve software. - Automate repetitive workflows and connect multiple services. - Build prototypes quickly, test them with real users and turn successful ideas into working features.

Skills We're Looking For

- Strong curiosity about AI, software development and emerging technologies. - Basic programming knowledge in JavaScript/TypeScript or Python. - Familiarity with APIs, JSON and basic web application concepts. - Willingness to learn by building, debugging and experimenting. - Ability to use AI coding assistants productively while understanding the code they generate.

Good to Have

- Experience with React, Next.js, React Native or Flutter. - Familiarity with Node.js, Python backends, Supabase or PostgreSQL. - Knowledge of LLM APIs, function calling, tool use or AI agents. - Exposure to MCP, RAG, vector databases or workflow automation. - Experience deploying a personal project, app, website or API.

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