Key Responsibilities 1. Python Development • • Design and develop scalable applications and backend services using Python. • Develop REST APIs, services, automation scripts, and AI/ML application components. • Write clean, maintainable and production-ready Python code. • Integrate Python applications with databases, APIs, cloud services, and AI platforms. 2. AI / Generative AI • • Develop and integrate AI/GenAI capabilities into enterprise applications. • Work with Claude and other LLM-based technologies for application development and automation. • Use GitHub and AI-assisted development capabilities to improve developer productivity and software delivery. • Work with LLM APIs, prompt engineering, tool/API integration and AI-powered workflows. • Evaluate AI-generated outputs and ensure appropriate quality, reliability and security. • Stay current with emerging GenAI development practices and tools. 3. React / Front-End Development • • Develop responsive and scalable user interfaces using React.js. • Build reusable components and integrate front-end applications with Python-based APIs. • Work with JavaScript/TypeScript, HTML and CSS as required. • Implement application features based on functional and technical requirements. • Troubleshoot and optimize front-end application performance. 4. Databricks & Data Platform • • Work with Databricks for data processing, analytics and AI-related workloads. • Develop and maintain Databricks notebooks, jobs and data pipelines as required. • Integrate application and AI workloads with Databricks data platforms. • Understand data engineering and data consumption patterns within a lakehouse environment. • Collaborate with data engineers and architects on Databricks-based solutions. Required Skills & Experience • • 6+ years of experience • Strong hands-on experience in Python development. • Strong hands-on experience with React.js. • Practical experience building or integrating AI/Generative AI applications. • Experience with Claude / Anthropic or equivalent LLM platforms. • Experience with GitHub, including Git-based development workflows; exposure to GitHub Copilot/AI-assisted development is preferred. • Hands-on or strong working experience with Databricks. • Good understanding of REST APIs and application integration. • Good understanding of Docker and containerized applications. • Good working knowledge of Kubernetes and application deployment concepts. • Understanding of CI/CD pipelines and application release processes. • Ability to troubleshoot issues across application, API, data and deployment layers. • Strong understanding of software development lifecycle and Agile practices.