Jobs → Engineering → Full Stack Developer

About the Role We are looking for a strong Full Stack Developer with expertise in Java, React, Python, and hands-on AI/Generative AI (GenAI) integration experience. The ideal candidate should have experience building scalable full-stack applications, developing backend services and APIs, creating modern frontend interfaces, and integrating AI-powered capabilities into enterprise applications. Key Responsibilities • Design, develop, and maintain scalable full-stack applications using Java, React, and Python. • Build responsive and user-friendly frontend applications using ReactJS. • Develop backend services, microservices, and RESTful APIs using Java/Spring Boot and Python. • Integrate AI/GenAI capabilities into enterprise applications. • Work with Large Language Models (LLMs) and AI services to build intelligent application features. • Develop and integrate AI-powered chatbots, virtual assistants, and intelligent automation solutions. • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases. • Work with OpenAI APIs, Azure OpenAI, or other LLM platforms. • Design and optimize SQL and NoSQL database solutions. • Integrate third-party services, APIs, and enterprise applications. • Implement authentication, authorization, and application security best practices. • Collaborate with architects, product owners, and cross-functional engineering teams. • Participate in code reviews, unit testing, debugging, and performance optimization. • Support application deployment, CI/CD pipelines, and production troubleshooting. Requirements • 10+ years of experience in Full Stack Application Development. • Strong hands-on experience with Java, ReactJS, and Python. • Strong experience developing RESTful APIs and microservices. • Expertise in frontend development using ReactJS, JavaScript, TypeScript, HTML, and CSS. • Hands-on experience with Python-based backend development and API integration. • Practical experience integrating AI/GenAI capabilities into applications. • Experience working with LLMs, Prompt Engineering, and AI APIs. • Knowledge of OpenAI APIs, Azure OpenAI, or similar AI platforms. • Experience with RAG (Retrieval-Augmented Generation) architecture. • Familiarity with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB. • Strong knowledge of SQL and NoSQL databases. • Experience with Git, CI/CD, Docker, and cloud platforms. • Strong problem-solving, debugging, and communication skills.