Full Stack AI GraphRAG Developer

Job Description

Job Description We are looking for a skilled Full Stack AI Engineer to design, develop, integrate, and maintain scalable web applications and AI-enabled solutions. The role requires strong hands-on expertise in React.js, Node.js, Python FastAPI, REST APIs, and AI/Generative AI technologies. Key Responsibilities: Design and develop responsive, scalable, and reusable frontend applications using React.js, JavaScript/TypeScript, HTML, and CSS. Develop robust backend services, RESTful APIs, and microservices using Node.js and Python FastAPI. Build and integrate AI/GenAI capabilities into full-stack applications and enterprise workflows. Integrate LLMs, AI services, APIs, and intelligent automation into applications. Develop API integrations between frontend, backend, databases, third-party services, and AI platforms. Implement authentication, authorization, API security, input validation, error handling, and secure coding practices. Design efficient data processing and database interactions using SQL and relevant database technologies. Develop reusable components, services, and APIs following clean coding and software engineering standards. Perform unit testing, debugging, performance optimization, and production issue resolution. Participate in solution design, code reviews, technical discussions, and continuous improvement initiatives. Collaborate with architects, developers, QA teams, product owners, and stakeholders across the development lifecycle. Use Git, CI/CD, Agile methodologies, and modern software development practices. Mandatory Skills: Strong hands-on expertise in React.js for frontend development. Strong hands-on expertise in Node.js for backend development. Strong hands-on expertise in Python FastAPI for backend services and REST API development. Strong proficiency in JavaScript/TypeScript and Python. Strong understanding of REST APIs, microservices, asynchronous programming, API integration, and backend architecture. Hands-on experience with AI/GenAI, LLM integration, AI APIs, and intelligent application development. Good understanding of databases, SQL, data processing, authentication, authorization, and API security. Experience with Git, unit testing, debugging, code reviews, and Agile development. Good to Have: Exposure to AWS or other cloud platforms, Docker, Kubernetes, and CI/CD pipelines. Knowledge of AI agents, LLM orchestration, prompt engineering, vector databases, and RAG-based applications.