Senior Full Stack Engineer - GenAI

We are looking for a highly skilled and innovative Senior Full Stack Engineer with strong expertise in Node.js, React.js, and Generative AI technologies to join a large-scale Digital Engineering team. The ideal candidate will have proven experience building scalable, high-performance enterprise applications and hands-on expertise in designing and implementing Generative AI solutions using modern LLM frameworks and architectures. This role requires a strong engineering mindset, excellent problem-solving skills, and the ability to deliver end-to-end AI-enabled digital solutions within an Agile product engineering environment. This is an excellent opportunity for professionals who are passionate about Full Stack Engineering, AI innovation, and building next-generation digital products and intelligent applications. **Requirements** Key Responsibilities * Design, develop, and maintain scalable Full Stack applications using Node.js and React.js. * Build secure, high-performance backend services and microservices using Node.js and Express.js. * Develop responsive and reusable frontend applications using React.js, Redux, and TypeScript. * Design and implement Generative AI-powered solutions leveraging modern LLM technologies and frameworks. * Build and integrate Retrieval-Augmented Generation (RAG) pipelines and intelligent AI workflows. * Develop AI-enabled applications utilizing embeddings, vector databases, agent frameworks, and multi-step prompting techniques. * Integrate Generative AI capabilities into enterprise applications through App-to-App (A2A) integrations and intelligent orchestration frameworks. * Collaborate closely with Product Managers, Data Scientists, DevOps Engineers, and Software Engineering teams to deliver end-to-end solutions. * Ensure application scalability, performance, security, and maintainability following software engineering best practices. * Participate in architecture discussions, code reviews, and technical design sessions. * Troubleshoot and resolve production issues across Full Stack and AI-enabled applications. * Stay up to date with emerging AI technologies and recommend innovative engineering approaches. * Mentor junior engineers and contribute to knowledge-sharing initiatives across the engineering organization. * Participate actively in Agile delivery ceremonies and engineering excellence initiatives. Required Technical SkillsFull Stack Development * Node.js * Express.js * React.js * Redux * TypeScript * JavaScript (ES6+) * RESTful APIs * Microservices Architecture Generative AI Technologies Strong hands-on experience with: * Retrieval-Augmented Generation (RAG) * Multi-Chain Prompting (MCP) * Embeddings * AI Agents * App-to-App (A2A) Integrations * Prompt Engineering * LLM Orchestration Frameworks Generative AI Frameworks & Tools Experience with one or more of the following: * LangChain * LlamaIndex * OpenAI * Anthropic * Open-source LLMs Vector Databases Hands-on experience with: * Pinecone * FAISS * Weaviate * Similar Vector Database technologies Cloud & DevOps Experience with: * AWS / Azure / GCP * Docker * Kubernetes * CI/CD Pipelines * DevOps Practices Required Competencies * Strong software engineering fundamentals and system design skills. * Excellent analytical and problem-solving capabilities. * Strong understanding of scalable and distributed application architectures. * Ability to work effectively in fast-paced Agile delivery environments. * Strong ownership mindset and delivery excellence. * Excellent communication and stakeholder collaboration skills. * Passion for continuous learning and emerging technologies. * Ability to mentor and guide junior engineers. Preferred Qualifications * Experience working in Banking or Financial Services environments. * Exposure to Digital Transformation initiatives and enterprise-scale application development. * Experience building AI-enabled products and intelligent automation solutions. * Contributions to open-source Full Stack or Generative AI projects will be considered an added advantage. * Exposure to Agile methodologies and modern engineering practices. Education * Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent industry experience). Preferred Domain Experience * Banking * Financial Services * Digital Products * Enterprise Digital Engineering * Generative AI & Intelligent Applications