Full Stack AI Engineer ? Location: Anywhere in India ? Experience: 5–6 Years ? CTC: ₹25–35 LPA ⏳ Notice Period: Immediate Joiners / Up to 30 Days About the Role We are looking for a hands-on Full Stack AI Engineer with strong software engineering skills and practical experience building Generative AI / LLM-powered applications. The ideal candidate should have experience across backend and frontend development, AI/LLM integration, APIs, databases, and cloud platforms, with the ability to build scalable, production-ready AI applications. Key Responsibilities Design, develop and maintain full-stack Generative AI applications. Build robust backend systems and APIs for AI-driven products and agent-based applications. Integrate LLMs and GenAI models into production-ready applications. Develop user-facing applications using modern frontend technologies. Work with agentic AI frameworks such as LangChain, LangGraph or Semantic Kernel. Develop and integrate REST/GraphQL APIs and work with SQL/NoSQL databases. Containerise applications using Docker and deploy solutions on cloud platforms. Implement logging, monitoring, tracing and validation for AI applications. Follow strong software engineering practices including code reviews, testing and documentation. Collaborate with AI engineers, data scientists and technical teams to deliver end-to-end AI solutions. Required Skills 5–6 years of professional software engineering/full-stack development experience. Strong hands-on experience with Python, preferably Django. Strong experience with JavaScript/TypeScript and React. Experience building backend systems, APIs and data-driven applications. Practical experience with Generative AI, LLMs and AI-powered applications. Experience/exposure to LangChain, LangGraph, Semantic Kernel or similar frameworks. Strong understanding of REST/GraphQL APIs, backend architecture and data modelling. Experience with SQL and/or NoSQL databases. Hands-on experience with Docker and cloud platforms such as GCP/Azure. Good understanding of software design principles and system design. Strong problem-solving and debugging skills. Preferred Experience taking AI/GenAI applications from development to production. Exposure to model deployment, monitoring, guardrails and LLM application security. Experience in consulting, product or start-up environments. Familiarity with machine learning, data science and large-scale data processing. Interested candidates can apply with their updated resume.