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 modern 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

📌 Walk-in || Full Stack Cloud & AI Engineer (ReactJS + NodeJS + GCP + AI) (Chennai)
🏢 Tata Consultancy Services
📍 Chennai