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