Senior Full Stack Engineer - GenAI

We are looking for an experiencedFull Stack Engineerwith strong hands-on expertise inReact.js, Node.js, TypeScript/JavaScript, and Generative AIto design, develop, and deliver scalable enterprise applications and intelligent automation solutions.

The ideal candidate will have strong full-stack engineering capabilities combined with practical experience integratingGenerative AI, Large Language Models (LLMs), RAG, AI Agents, and prompt engineeringinto production-ready applications.

You will work closely with product, engineering, architecture, DevOps, and business teams to build secure, scalable, cloud-native solutions and AI-powered enterprise workflows.

Key Responsibilities

• Design, develop, and maintain scalable full-stack web applications usingReact.js and Node.js.
• Develop responsive, performant, and reusable frontend applications usingReact.js, JavaScript/TypeScript, and modern frontend development practices.
• Design and build scalableRESTful APIs, backend services, and microservicesusing Node.js and Express.js.
• Integrate enterprise applications with internal and external systems through APIs and modern integration patterns.
• Design and implementGenerative AI solutions, intelligent automation workflows, and AI-powered applications.
• Integrate and work with modern LLM platforms includingOpenAI, Azure OpenAI, and Google Gemini.
• DevelopRetrieval-Augmented Generation (RAG)solutions and AI-powered knowledge applications.
• Design and implementAI Agents and agentic workflowsfor enterprise use cases.
• Applyprompt engineeringtechniques to improve the accuracy, reliability, and effectiveness of AI applications.
• Work with frameworks and technologies such asLangChainfor LLM and AI application development.
• Integrate AI capabilities such as intelligent assistants, chatbots, document processing, automation, and other enterprise AI use cases.
• Design solutions that are scalable, secure, maintainable, and suitable for enterprise production environments.
• Deploy and manage applications acrossAzure and/or AWS cloud environments.
• Work withDocker and Kubernetesfor containerization and cloud-native application deployment.
• Contribute toCI/CD pipelines, automated deployments, and DevOps practices.
• Write clean, reusable, maintainable, and well-tested code following established engineering standards.
• Participate in code reviews, technical discussions, debugging, performance optimization, and production support.
• Collaborate with cross-functional teams to understand requirements and translate business needs into technical solutions.
• Participate in Agile delivery practices including sprint planning, daily stand-ups, backlog refinement, reviews, and retrospectives.
• Troubleshoot complex application, integration, and production issues and drive them through to resolution.

Required Technical Skills

Frontend

• Strong hands-on experience withReact.js.
• Strong proficiency inJavaScript and/or TypeScript.
• Experience building responsive, reusable, and high-performance web applications.
• Strong understanding of modern React development and component-based architecture.

Backend

• Strong hands-on experience withNode.js.
• Strong experience withExpress.jsor similar Node.js frameworks.
• Experience developing scalableRESTful APIs and microservices.
• Strong understanding of API design, integration, authentication, and backend architecture.

Databases

• Hands-on experience withMongoDB.
• Experience withCosmos DB.
• Strong understanding of data modelling and database integration.

Generative AI / LLM

• Practical hands-on experience implementingGenerative AI solutions.
• Experience with one or more major LLM platforms:
• OpenAI
• Azure OpenAI
• Google Gemini
• Strong understanding ofRAG (Retrieval-Augmented Generation)architectures.
• Hands-on experience withLangChainor similar LLM application frameworks.
• Experience building or integratingAI Agents / Agentic workflows.
• Strong understanding ofPrompt Engineeringand its application to real-world coding and enterprise AI use cases.
• Experience integrating LLM capabilities into applications through APIs/SDKs.
• Understanding of AI-powered automation and enterprise AI workflows.

Cloud & DevOps

• Hands-on experience withAzure and/or AWS.
• Experience withDockerand containerized application development.
• Experience withKubernetes.
• Good understanding ofCI/CD pipelines and DevOps practices.
• Experience with Git and modern source-control practices.

Agile & Engineering Practices

• Strong experience working inAgile/Scrum environments.
• Experience participating in sprint planning, stand-ups, backlog refinement, reviews, and retrospectives.
• Strong understanding of software development lifecycle and engineering best practices.
• Experience with code reviews, testing, debugging, performance optimization, and production support.
• Ability to work effectively with Product Owners, Architects, QA, DevOps, business stakeholders, and other engineering teams.

Preferred Experience

• Experience working onenterprise-scale applications or business platforms.
• Experience withinbanking, financial services, fintech, or other highly regulated environments.
• Experience implementingAI/GenAI solutions within enterprise environments.
• Experience withAzure OpenAIand enterprise Azure services.
• Experience integrating AI solutions with existing enterprise applications and APIs.
• Exposure to cloud-native and microservices architectures.
• Experience developing intelligent automation platforms, AI assistants, chatbots, or agent-based applications.

Education

Bachelor's or Master's degree inComputer Science, Information Technology, Engineering, or a related discipline, or equivalent industry experience.