AI Frontend Engineer Intern

SkilloVilla

Bengaluru

On-site

INR 279,000 - 335,000

Part time

23 hours ago
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Benefits offered by this job

Certificate of Internship
Competitive compensation

Job summary

SkilloVilla in Bangalore is seeking a hands-on intern to design and ship AI-native interfaces end-to-end for internal tools, dashboards, and agent UIs used by operations, growth, and product teams.

You will wire frontends to LLM APIs and internal services, turning ambiguous problems into working products with minimal hand-holding.

Qualifications

  • Hands-on UI/AI interface development end-to-end.
  • Experience wiring frontend to LLM APIs and internal services.
  • Available for 6 months in Bangalore and in-office.
  • Graduating within 6 months or already graduated.

Responsibilities

  • Understand each team's problem, design the interface and ship end-to-end.
  • Design and build AI-native interfaces: streaming responses, chat, and citations to source.
  • Turn ambiguous problems into working products without hand-holding.
  • Wire frontend to LLM APIs, internal services, and third‑party tools via APIs/webhooks.
  • Own the whole experience: layout, states, performance, and polish.

Skills

Tailwind CSS
State management
REST APIs
Webhooks
SQL
Postman
AI coding tools
n8n
Zapier
Figma
Data visualization
Data viz

Education

Pursuing degree

Tools

Supabase
Apify
Airtable
Postman

Job description

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

  • 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
  • Certificate of Internship
  • Competitive compensation
  • An opportunity 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

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