IMMEDIATE JOINERS ONLY !!! Experience: 3–5 years Location: Pune, Maharashtra (On-site) Compensation: ₹ 8–12 LPA (based on experience and skills) About the Role We are looking for a motivated Python Full Stack Engineer with hands-on exposure to Generative AI to join our growing engineering team. You'll build scalable web applications and integrate LLM-powered features into real products — working across the backend, frontend, and AI layers. This is a great role for an engineer with strong full stack fundamentals who has started working with LLMs and wants to go deeper. You'll get significant ownership, work directly with modern AI tooling, and grow alongside a fast-moving product What You'll Do Design, develop, and maintain backend applications and RESTful APIs using Python (FastAPI or Flask) Build responsive frontend interfaces using React.js Design and work with relational and NoSQL databases Integrate LLM APIs (OpenAI, Anthropic, Google Gemini) into product features Build and iterate on Retrieval-Augmented Generation (RAG) pipelines using frameworks like LangChain or LlamaIndex Apply prompt engineering, function calling, and structured outputs to make AI features reliable Integrate third-party APIs and external services Write clean, well-documented, and testable code Participate in code reviews, troubleshoot issues, and optimize performance Collaborate with product, design, and engineering teams to ship high-quality features. What We're Looking For Must-have: 3+ years of professional experience in Python development Solid experience building REST APIs with FastAPI, Flask, or Django Working knowledge of React.js (or Angular) — comfortable building and modifying UI components Experience with SQL databases (PostgreSQL/MySQL); exposure to NoSQL (MongoDB, Redis) is a plus Hands-on experience integrating LLM APIs into an application — through work projects or substantial personal projects Understanding of prompt engineering and RAG concepts Strong debugging skills and software engineering fundamentals (Git, testing, code reviews) Nice-to-have (not required): Experience with agent frameworks or multi-step LLM workflows Familiarity with vector databases (Pinecone, pgvector, Chroma, etc.) Exposure to Docker, CI/CD, or cloud platforms (AWS/GCP/Azure) Open-source contributions or a portfolio of AI-powered side projects What We Offer Compensation of ₹ 8–12 LPA based on experience Hands-on work with cutting-edge GenAI tooling in production — not just experiments High ownership and direct impact on product direction Learning budget / mentorship for deepening AI engineering skills (edit as applicable) [ How to Apply Send your resume along with links to anything you've built with LLMs — a GitHub repo, a demo, or a short write-up of a work project. We care more about what you've shipped than keywords on a resume