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Full-Stack AI Engineer


Job Location:

Chennai - India

Monthly Salary: Not provided by the employer
Posted: 12 October 2026 (11 hours ago)
Application Deadline: 9 January 2027
Vacancies: 1 Vacancy

Job Summary

Role Overview:


We are looking for a skilled Full-Stack AI Engineer with strong software development experience and hands-on expertise in Generative AI Large Language Models (LLMs) and Agentic AI. The ideal candidate will be capable of building scalable secure AI-powered applications across frontend backend AI integration and cloud deployment.
The candidate should be comfortable translating business requirements into production-ready solutions using modern web technologies Python-based backend services LLM frameworks and cloud-native architectures.


Key Responsibilities:

  • Develop modern frontend applications using TypeScript and JavaScript.
  • Build scalable backend services microservices and REST APIs using Python FastAPI or similar frameworks.
  • Design and implement Generative AI applications using LLMs Retrieval-Augmented Generation (RAG) embeddings vector search and prompt engineering.
  • Develop Agentic AI workflows using LangGraph LangChain LlamaIndex or equivalent frameworks.
  • Build AI-powered document processing solutions involving OCR document extraction summarization and intelligent information retrieval.
  • Integrate multiple LLM providers and evaluate emerging AI models frameworks and developer tools.
  • Apply relevant Machine Learning Deep Learning NLP and Computer Vision techniques to practical business problems.
  • Design scalable application architectures involving APIs databases caching AI services and third-party integrations.
  • Implement enterprise security practices including SSO OAuth/OIDC JWT and role-based access control (RBAC).
  • Work with PostgreSQL Redis vector databases and other data storage technologies.
  • Develop real-time and streaming integrations using WebSockets Server-Sent Events (SSE) and REST APIs.
  • Implement CI/CD pipelines containerization and cloud deployment using Docker and relevant cloud platforms.
  • Collaborate with product managers business stakeholders and engineering teams to deliver reliable maintainable applications.

Required Skills:

LEARNINGREDISMACHINE LEARNINGWEBSOCKETSTYPESCRIPTOAUTHJAVASCRIPT