Senior Full Stack Engineer

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 and 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 and 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 and intelligent applications