AI Front-End Engineer - React & AI Dashboards

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A Service Now-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider.

A “Great Place To Work® Certified™” company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

We are seeking an experienced AI Full Stack Engineer with React expertise and Databricks/Azure experience. This individual will build modern custom web applications, dashboards, AI-enabled tools, and operational interfaces that leverage Data Sphere and Databricks data assets.

• Migrate current Palantir Workshops into modern React applications
• Migrate Databricks ETL to new serverless Databricks
• Develop responsive and accessible user experiences
• Resolve Azure networking, proxy, firewall, and authentication issues in Databricks and web applications
• Integrate with REST APIs and backend services
• Collaborate with business stakeholders on UI/UX requirements
• Develop and deploy APIs in Azure
• Build applications that consume Databricks, Snowflake, and Azure data sources
• Support migration of existing data workflows where required
• Optimize data retrieval and application performance
• Develop automation and operational tooling
• Build AI-enabled applications using Databricks AI capabilities
• Develop monitoring and health check dashboards
• Support chatbot and agentic AI initiatives
• Build administrative portals for Data Sphere applications
• Assist with Databricks Serverless migration efforts
• Enhance health check reporting and operational visibility
• Develop front-end interfaces for health check management and monitoring
• Support Azure-based application deployments

• Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field, plus five (5) years of experience in the job offered or a related occupation.
• 5+ years of overall experience in Full Stack Engineering with React and Databricks/Azure expertise
• Experience with the following Programming
  
  Languages:
  
  JavaScript (ES6 or higher), Angular and Type Script. (5 years);
• Experience with the following Databases & Data Stores:
  Oracle Database (version 12c or higher), PostgreSQL, MongoDB (version 4.4 or higher), Cassandra, Redis (version 6 or higher), Elasticsearch (version 6 or higher), and Neo4j. (3 years);
• Experience with the following Backend Frameworks & ORM:
  Spring Boot (version 2 or higher), Node.js (version 18 or higher), Express.js (version 4 or higher), and FastAPI. (5 years);
• Experience with Frontend Development utilizing React (version 16 or higher), D3.js, Redux, React Hooks, React Router, Webpack, Vite, Tailwind CSS, HTML5, and CSS
  3. (5 years);
• Experience with API Development & Protocols: RESTful APIs, GraphQL, gRPC, OpenAPI/Swagger, Web Socket, Server-Sent Events (SSE), Protocol Buffers, JSON Web Tokens (JWT), OAuth 2.0, and SAML 2.0. (3 years);
• Experience with Event-Driven & Distributed Messaging Systems:
  Apache Kafka, RabbitMQ.
• Experience with the following Cloud, Containers & Infrastructure:
  Docker (version 20 or higher), Google Cloud Platform (GCP), Kubernetes (GKE), and Cloud Run. (2 years);
• Experience with Testing & CI/CD:
  Jest (version 29 or higher), Mocha, Supertest, Cypress, Playwright, Istanbul/NYC, Jenkins (version 2 or higher), Git Hub Actions, Harness, and Sonar Qube. (2 years);
• Experience with Monitoring & Observability utilizing Datadog, Prometheus, Grafana, and Kibana. (2 years);
• Experience with AI/ML & LLM Applications:
  Lang Chain, Lang Graph, Lang Smith, Milvus, Pinecone, Model Context Protocol (MCP), RAG (Retrieval-Augmented Generation), n8n, numpy, and pandas. (1 year).