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Full-Stack AI Engineer

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Onsite

Full-Stack AI Engineer

Willware Technologies

Full-Stack AI Engineer

Skills

NextDeep LearningDockerReactTypescriptPythonMicroservicesPostgreSQLRedisMachine LearningAINLP / Natural Language ProcessingFastAPIJavascript

7 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


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 React.js, Next.js, 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.

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