Full Stack AI Engineer( 5 years)

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.