AI is only as useful as the interface people actually open. You'll build that layer: the internal tools, dashboards, and agent interfaces that our operations, growth, and product teams use every day to replace hours of manual work.

This is a hands-on building role, not research or prompt-writing. You'll understand each team's problem, design the interface, and ship it end to end using the modern AI stack.

Location: Bangalore (Work from Office)

Duration: 6 Months + PPO (based on performance)

Stipend: INR 25k/month Responsibilities

Understanding each team's problem, designing the interface, and shipping it end to end, from a quick single-page tool to a full product surface

Designing and building AI-native interfaces: streaming responses, chat and agent UIs, human-in-the-loop review, and citations back to source

Turning ambiguous problems into working products without hand-holding

Wiring up frontends to LLM APIs, internal services, and third-party tools using APIs and webhooks

Owning the whole experience: layout, states, performance, and polish Skills

Strong proficiency in JavaScript or TypeScript with a modern framework (ReactJS, NextJS, or similar), and projects to show for it

Real command of CSS and layout: Tailwind or equivalent, responsive design, component libraries, and a sense for when something looks off

Comfort with state management, API integration, auth flows, and handling loading, empty, and error states properly

Enough backend to be dangerous: REST APIs, webhooks,



basic RDBMS and SQL, and tools like Postman

Deep, hands-on knowledge of AI coding tools like Claude (Claude Code), Codex, Cursor, Windsurf, and GitHub Copilot

Hands-on with automation and orchestration tools like n8n and Zapier

Working knowledge of MCP servers, connectors, plugins, and skills

Available full-time for 6 months in Bangalore (in-office); graduating within 6 months or already graduated Good to have

Design sense and Figma fluency: you can go from a rough idea to a clean screen without waiting for a designer

Data visualisation with Recharts, D3, or similar, and building dashboards people actually read

Building AI agents, RAG, or multi-step agentic workflows, and the interfaces on top of them

Advanced LLM concepts like harnesses, memory, loops, knowledge graphs, and vector databases

Streaming UIs (SSE, WebSockets), optimistic updates, and performance work on heavy views

Hands-on with open-source AI models (HuggingFace, etc.)

Video generation and editing using generative AI

Low-code/no-code and backend tools like Supabase, Apify, and Airtable Benefits

Certificate of Internship

Competitive compensation An prospect to convert the internship to a full-time role

Work in an agile environment on quality problems

Get mentoring from top product managers and the CTO himself Ready to showcase your talents?

Share your projects (GitHub, live links, or otherwise) and the problems you've solved using AI.

📌 AI Frontend Engineer Intern (Bengaluru)
🏢 SkilloVilla
📍 Bengaluru