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.