We're looking for an individual with Prior experience building RESTful APIs. Experience with at least one of the backend API frameworks (preferably FastAPI) Hands-on experience with at least one modern ML/AI framework (PyTorch, TensorFlow) Experience integrating LLMs into applications (OpenAI, Anthropic, or open-source) Strong foundation in deep learning concepts and model training workflows Database expertise: schema design, query optimization, both SQL and NoSQL Experience with vector databases (Pinecone, Weaviate, Chroma) for RAG applications Mathematical aptitude: comfortable with statistics, linear algebra, and algorithmic thinking Your daily work would include Working on product features end-to-end (write backend logic, write API, connect APIs in the front end, and build a basic functional UI) Working with RESTful APIs, SQL, and NoSQL databases Training, fine-tuning, and deploying deep learning models for production use Building robust LLM integration pipelines with proper error handling and fallback mechanisms Implementing MLOps practices: model versioning, A/B testing, monitoring, and automated retraining Working on multiple projects during the tenure across multiple domains Note: The working hours are flexible. We are a small team. Most of the work will happen asynchronously. Culture-wise, we are looking for people who are excited to learn new things, think creatively, are capable of figuring things out on their own (most of the time), and have a "getting things done" kind of attitude. Show more Show less
About the Role Join us as a Full Stack Development Intern to build and ship multiple internal products. This is a hands-on role where you'll contribute to production code from day one while working across our entire tech stack. We are looking for someone who can independently tackle problems and deliver working solutions, not just follow tutorials. What You'll Do Build and maintain features across multiple internal products Write production-ready code in TypeScript/Python for both frontend and backend Develop responsive UIs with React and Next.js Design and implement RESTful APIs using Python (FastAPI) Optimize application performance and debug production issues Participate in code reviews and architectural discussions Technical Requirements: Must have built real-world projects using: Frontend : React, Next.js, TypeScript, modern CSS (Tailwind/styled-components) Backend : Node.js with Express/Fastify AND Python with FastAPI Databases : PostgreSQL/MySQL and MongoDB/Redis Version Control : Git workflows, PR reviews Deployment : Experience deploying applications (Vercel, Railway, AWS, or similar) What We're Looking For Portfolio of deployed projects (not tutorials or course projects) Ability to debug issues across the entire stack Strong problem-solving skills - can figure things out without hand-holding Self-directed learner who can pick up new tools quickly Clean, maintainable code with proper error handling Experience with async programming and state management Understanding of web security basics and performance optimization What you can expect Compensation : ₹15,000/month + performance bonus upto ₹5,000/month Duration : 2 months with strong possibility of extension/full-time conversion Learning : Direct mentorship and exposure to production systems Impact : Your code ships to real users, not practice projects Culture : No bureaucracy, focus on shipping quality code, with cool fellow developers Remote : Work from anywhere with flexible hours