Python React Developer

Job Title: Python React Developer

AI & Intelligent Experience Integration Experience integrating LLM/Generative AI capabilities into enterprise applications using APIs and modern AI frameworks. Exposure to RAG, semantic search, embeddings, AI agents, tool/function calling, MCP or similar integration patterns is desirable. Ability to integrate AI-generated or AI-enriched capability information into user-facing workflows with validation, guardrails, and traceability. Data, Cloud & Engineering Practices Strong SQL experience with PostgreSQL or equivalent relational databases; NoSQL exposure is useful. Experience with Docker, Kubernetes and CI/CD pipelines using GitHub Actions, Jenkins or equivalent tools. Experience with automated testing for frontend and backend applications using tools such as Jest, React Testing Library, PyTest, Playwright/Cypress or equivalent. Strong understanding of authentication/authorization, secure coding, logging, monitoring, error handling and production troubleshooting. Strong analytical, problem-solving, documentation and cross-functional communication skill"Keywords:"React 19, React.js, TypeScript, JavaScript, React Hooks, Redux Toolkit, React Query, Python 3.11, FastAPI, REST API, GraphQL, WebSockets, Full Stack, Capability Catalog, Capability Map, Taxonomy, Hierarchy, Tree View, Graph Visualization, Data Visualization, Search, Filtering, PostgreSQL, SQL, Generative AI, LLM, RAG, Semantic Search, Embeddings, AI Agents, Agentic AI, MCP, Tool Calling, Docker, Kubernetes, GitHub Actions, Jenkins, CI/CD, Jest, React Testing Library, PyTest, Playwright, Cypres"Role Descriptions: Full-Stack Engineering - React & Python Strong hands-on experience building enterprise full-stack applications using React 19 / modern React| TypeScript| andPython 3.11+. Strong React expertise including functional components| Hooks| state management| routing| reusable component design|responsive UI| accessibility| and frontend performance optimization. Strong Python backend experience using FastAPI; Flask/Django experience is useful. Strong experience designing and consuming secure REST APIs; GraphQL and WebSocket/SSE experience is desirable. Capability Catalog| Map & Data Experience Experience building catalog| taxonomy| hierarchy| tree| graph| or relationship-driven user experiences for exploringcomplex enterprise information. Strong experience transforming structured and semi-structured data into hierarchical models suitable for capability mapsand interactive visualization. Experience implementing advanced search| filtering| sorting| drill-down| metadata-driven navigation| and reusablevisualization components. Experience with modern visualization libraries or graph/tree UI patterns is highly desirable. AI & Intelligent Experience Integration Experience integrating LLM/Generative AI capabilities into enterprise applications using APIs and modern AI frameworks. Exposure to RAG| semantic search| embeddings| AI agents| tool/function calling| MCP or similar integration patterns is desirable. Ability to integrate AI-generated or AI-enriched capability information into user-facing workflows with validation| guardrails| and traceability. Data| Cloud & Engineering Practices Strong SQL experience with PostgreSQL or equivalent relational databases; NoSQL exposure is useful. Experience with Docker| Kubernetes and CI/CD pipelines using GitHub Actions| Jenkins or equivalent tools. Experience with automated testing for frontend and backend applications using tools such as Jest| React Testing Library| PyTest| Playwright/Cypress or equivalent. Strong understanding of authentication/authorization| secure coding| logging| monitoring| error handling and production troubleshooting. Strong analytical| problem-solving| documentation and cross-functional communication skills.