Senior Full Stack Engineer - GenAI

Job Description:

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

Bachelors or Masters degree inComputer Science, Information Technology, Engineering, or a related discipline, or equivalent industry experience.

Requirements: