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Software Engineering Intern - Full Stack & AI

Brandmark.livemumbai city, India

6 days ago

Job description

About the Role

Join us in building brandmark.live, a comprehensive brand name research platform that validates brand names across 25+ platforms including domains, social media, package registries, and app marketplaces. You'll work across the full stack—building responsive web interfaces, implementing async API integrations, and creating AI-powered name generation systems.

What You'll Build

Frontend

Modern, mobile-responsive web interface with real-time availability checking
Interactive visualizations for brandability scoring and multi-platform results
WebSocket-based live updates and seamless user experiences

Backend

RESTful APIs with FastAPI for name checking, suggestions, and discovery

Async integrations with 25+ providers (domains, social platforms, package registries)

Intelligent caching with Redis and rate limiting systems

AI / LLM

OpenAI / Claude API integration for AI-powered brand name suggestions

Prompt engineering for brandable name generation

Similarity detection algorithms for discovering existing names

Tech Stack

Backend : Python, FastAPI, PostgreSQL, Redis, async / await

Frontend : HTML5, CSS3, JavaScript (ES6+), responsive design

AI : OpenAI API, Claude API, similarity algorithms

Infrastructure : Docker, docker-compose, REST APIs

Integrations : 25+ providers (Instagram, GitHub, NPM, .com domains, etc.)

Required Skills

Strong Python 3.8+ and understanding of async programming

Web fundamentals : HTML5, CSS3, JavaScript

Experience with RESTful APIs and HTTP

Git and collaborative development

Basic understanding of databases (SQL) and caching

Interest in LLMs and AI-powered applications

Ability to learn fast and work independently

Preferred

Currently pursuing CS / Software Engineering degree (Sophomore-Senior)

Portfolio with full-stack projects or open-source contributions

Experience with FastAPI, Flask, or Django

Familiarity with Docker and containerization

Exposure to AI APIs (OpenAI, Anthropic, etc.)

Understanding of rate limiting and API integration patterns

You'll Learn

✓ Production-grade async Python and FastAPI development

✓ LLM integration and prompt engineering

✓ Distributed systems with caching and rate limiting

✓ Full-stack development from database to UI

✓ Modern DevOps with Docker and containerization

✓ API design and multi-provider architecture

Example Projects

Add new platform providers (TikTok username checking, Shopify store names)

Improve AI suggestion algorithms with better prompts and filters

Build visual brandability scoring dashboard

Optimize database queries and caching for faster responses

Create batch checking API for processing multiple names

Apply

Send your resume, GitHub profile, and a brief note about why you're interested in brandmark.live to :

Include any projects demonstrating Python, web development, or AI / LLM work.

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Software Engineering • mumbai city, India

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