Role & responsibilities
Design, develop, test and maintain scalable full-stack applications using ReactJS, NodeJS and TypeScript/JavaScript.
Build responsive, secure and high-performance user interfaces using ReactJS, Redux/Redux Toolkit and contemporary web development practices.
Develop backend services, RESTful APIs and microservices using NodeJS, integrating applications with enterprise platforms and data services.
Build and deploy cloud-native applications on Google Cloud Platform (GCP), including containerized workloads on GKE.
Develop scalable GCP data pipelines for ingestion, transformation and processing of structured and unstructured data.
Work with BigQuery, Dataflow and Cloud Composer for cloud-based data processing and orchestration.
Build AI-enabled application capabilities by integrating Generative AI/LLM services into web applications and backend services.
Develop RAG-based solutions using enterprise data, embeddings and vector search.
Develop reusable APIs and services for AI model interaction, prompt orchestration, grounding and retrieval workflows.
Implement prompt engineering, guardrails, observability, logging and secure engineering practices.
Build and maintain CI/CD pipelines and Infrastructure as Code using Jenkins,



Git and Terraform.
Implement automated testing using Jest, React Testing Library and Playwright.
Collaborate within Agile feature teams and contribute to design, code reviews, engineering standards and mentoring.
Experience: Minimum 7+ years in full-stack/cloud engineering with practical exposure to AI/GenAI solutions.

Preferred candidate profile

Primary Skills
ReactJS v17+
NodeJS
JavaScript / TypeScript
Redux / Redux Toolkit
REST APIs and Microservices
Python
Google Cloud Platform (GCP)
GKE / Kubernetes
BigQuery
Dataflow
Cloud Composer
Generative AI / LLM integration
RAG architecture
Prompt Engineering
Embeddings and Vector Search
Docker, Git and CI/CD

Secondary Skills
React Testing Library, Jest and Playwright
Formik / Yup
Terraform and Jenkins
SQL and API testing
Data pipeline development and data modelling
Splunk / Dynatrace
Agile / Scrum, Jira and Confluence

Positive to Have
Vertex AI or other managed AI platforms
Vector databases and semantic search
Responsible AI, model evaluation and grounding controls
High-availability, production-grade cloud applications

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