AI Front End Engineer

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 ServiceNow-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 DataSphere and Databricks data assets. 

Responsibilities:

 

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 DataSphere 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

Requirements:

• 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 TypeScript. (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 CSS3. (5 years);
• Experience with API Development & Protocols: RESTful APIs, GraphQL, gRPC, OpenAPI/Swagger, WebSocket, 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), GitHub Actions, Harness, and SonarQube. (2 years);
• Experience with Monitoring & Observability utilizing Datadog, Prometheus, Grafana, and Kibana. (2 years);
• Experience with AI/ML & LLM Applications: LangChain, LangGraph, LangSmith, Milvus, Pinecone, Model Context Protocol (MCP), RAG (Retrieval-Augmented Generation), n8n, numpy, and pandas. (1 year).