Square Root Consulting
Full Stack AI Native Developer
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Fullstack
- Posted
Skills
Must have
- - Strong product ownership mindset
- - Expertise in scalable full stack development
- - Hands-on experience with AI coding tools like Cursor, Claude, ChatGPT, Copilot, etc.
- - Ability to rapidly prototype, debug, and deliver using AI-assisted engineering
- - Fast execution with clean, maintainable code
- - 4+ years of Full Stack experience
- - Strong React + TypeScript skills
- - Experience with Supabase or similar backend platforms
- - Experience with real-time systems & AI integrations
- - Comfortable working in high-ownership, fast-paced environments
- Tech Stack : React 18 + TypeScript, Node.js, Supabase (Postgres, Edge Functions, RLS), Tailwind, shadcn/ui, Radix UI
- Real-time apps using WebSockets / SSE AI / LLM Integrations
Full description
Description :
Were looking for an AI-first FullStack Developer who loves building fast, shipping faster, and leveraging modern AI-assisted workflows to create scalable products.
Role : Full Stack AI-Native Developer
Experience : 3 to 5 Years
Location : Bangalore (5 Days WFO)
Education : Any Engineering Background
What Were Looking For :
- Strong product ownership mindset
- Expertise in scalable full stack development
- Hands-on experience with AI coding tools like Cursor, Claude, ChatGPT, Copilot, etc.
- Ability to rapidly prototype, debug, and deliver using AI-assisted engineering
- Fast execution with clean, maintainable code
Must Have :
- 4+ years of Full Stack experience
- Strong React + TypeScript skills
- Experience with Supabase or similar backend platforms
- Experience with real-time systems & AI integrations
- Comfortable working in high-ownership, fast-**paced environments
Tech Stack : **React 18 + TypeScript, Node.js, Supabase (Postgres, Edge Functions, RLS), Tailwind, shadcn/ui, Radix UI
Real-time apps using WebSockets / SSE AI / LLM Integrations