Walk-in || Full Stack Cloud & AI Engineer (ReactJS + NodeJS + GCP + AI)

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

Good 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