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AI Full Stack Developer
Moksha Media Group
Bengaluru, IND
Full-time
Associate
Onsite
Discovered 1 weeks ago
Full-stack web developmentReact.jsJavaScript or TypeScriptPython and FastAPINode.js and Express.jsREST APIs and webhooks
Free
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Full-stack web developmentReact.jsJavaScript or TypeScript
Role Overview
Moksha Media Production is seeking an AI Full Stack Developer with hands-on experience in full-stack web development, AI or LLM applications, SaaS products, third-party integrations, and AWS production environments.
The role owns the development and deployment of scalable, production-ready AI applications.
The position requires 1–2 years of experience and is full-time and onsite in Kalyan Nagar, Bangalore.
Key Skills for This Role
Full-stack web developmentReact.jsJavaScript or TypeScriptPython and FastAPINode.js and Express.jsREST APIs and webhooks
Full Job Posting
About the Role
Moksha Media Production is seeking an AI Full Stack Developer with hands-on experience in full-stack web development, AI or LLM applications, SaaS products, third-party integrations, and AWS production environments.
The role owns the development and deployment of scalable, production-ready AI applications.
The position requires 1–2 years of experience and is full-time and onsite in Kalyan Nagar, Bangalore.
Frontend and Backend Skills
- Frontend skills include React.js, JavaScript or TypeScript, Tailwind CSS, Shadcn UI, and responsive web development.
- Backend skills include Python, FastAPI, Node.js, Express.js, REST APIs, authentication and authorization, and webhooks.
- Database skills include MongoDB, PostgreSQL, database design, and database optimization.
AI and Product Skills
- AI skills include LangChain, LangGraph, LLM APIs, prompt engineering, RAG, AI agents, agentic workflows, embeddings, vector databases, chatbots, and automation.
- SaaS and product skills include role-based systems, subscription and payment workflows, scalable architecture, and API-driven systems.
- Preferred experience includes AI SaaS products, AI agents and automation, LangChain or LangGraph, RAG, and LLM chatbots.
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