Senior Full Stack Engineer - GenAI

About this role

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 Skills Full 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