Fullstack Developer - React + Node + Python

Title - Mern Stack Developer - Full Stack , React + Node + Python

Location- Jaipur

Duration - Fulltime

Position Specific Requirements

48 years of hands-on full stack engineering experience, with a minimum of 1 year delivering production-grade Generative AI or Agentic AI features (proof-of-concept work alone will not qualify).

• Proven proficiency across the complete stack — candidates must demonstrate independent capability in both frontend (React/Next.js/TypeScript) and backend (Node.js/NestJS and Python/FastAPI) development. Single-layer specialists are not suitable for this position.
• Demonstrable end-to-end delivery experience on AWS or Azure, covering compute, identity, data storage, messaging, and observability services. Working proficiency across both cloud platforms is a strong advantage.
• Practical experience implementing Generative AI application patterns, including retrieval-augmented generation, embeddings and chunking strategy, function/tool calling, structured output handling, prompt versioning, evaluation harnesses, and token/cost optimization.
• Practical experience implementing Agentic AI patterns, including multi-step agent orchestration, tool registries, MCP (Model Context Protocol) server and client development, agent memory and state management, guardrails, and human-in-the-loop checkpoints.
• Ability to independently own a complete vertical slice of functionality — requirement analysis, API design, service implementation, frontend integration, deployment, and production monitoring — with minimal supervision.
• Working knowledge of enterprise non-functional requirements: authentication and authorization (Entra ID / Cognito / OAuth2), role-based access control, PII and sensitive data handling, data residency, audit logging, and secrets management.
• Hands-on experience with containerization, CI/CD pipelines, and Infrastructure as Code (Docker, Azure DevOps or GitHub Actions, Terraform/Bicep/CDK).
• Demonstrated experience writing and maintaining automated tests across unit, integration, and end-to-end layers, and participating actively in peer code review.
• Proven ability to operate within a client-facing Agile delivery pod — sprint commitment and estimation, backlog grooming participation, sprint demonstrations, and ownership of production defects through to resolution.
• Written and verbal communication skills sufficient for direct interaction with client engineering leads, architects, and business stakeholders without intermediary support.

Position Specific Skills All skills listed below are expected in every candidate, not distributed across the team.

• Frontend Development: React 18+, Next.js (App Router), TypeScript, JavaScript (ES6+), HTML5, CSS3, Tailwind CSS / shadcn / MUI, client-side state management (Redux, Zustand, or TanStack Query), streaming interfaces (SSE and WebSocket), responsive and cross-browser design, accessibility standards (WCAG/ARIA).
• Backend Development: Node.js with NestJS or Express, Python with FastAPI, REST API design, event-driven and asynchronous patterns, OpenAPI 3.x specification authoring, background job and queue processing, middleware and interceptor patterns, dependency injection.
• Generative AI: Azure OpenAI Service, AWS Bedrock, or equivalent LLM APIs; retrieval-augmented generation (RAG) pipeline design; embeddings and chunking strategy; function/tool calling; structured output and schema enforcement; prompt engineering and prompt versioning; evaluation frameworks and quality scoring; token consumption and cost optimization.
• Agentic AI: LangChain, LangGraph, LlamaIndex, or Semantic Kernel; Azure AI Foundry or AWS Bedrock Agents; Model Context Protocol (MCP) server and client implementation; multi-agent and multi-step orchestration; tool registries and tool schema design; agent memory and conversation state management; guardrails and safety controls; human-in-the-loop checkpoint design.
• Vector and Search: Azure AI Search, pgvector, Pinecone, or OpenSearch; hybrid search, semantic ranking, index design, and retrieval tuning. Cloud — Azure Azure Kubernetes Service (AKS), App Service, Azure Functions, Cosmos DB, Azure SQL, Microsoft Entra ID, Key Vault, API Management, Application Insights, Service Bus, Event Grid, Blob Storage.
• Cloud — AWS: Amazon EKS, ECS/Fargate, Lambda, DynamoDB, RDS/Aurora, Amazon Cognito, Secrets Manager, API Gateway, CloudWatch, SQS/SNS, Event Bridge, S3.
• Mandatory: demonstrable proficiency in either Azure or AWS. Preferred: working proficiency across both.* Data PostgreSQL, MongoDB, or Cosmos DB, Redis, advanced SQL, relational and document data modelling, migration, and schema versioning. Databricks and Unity Catalog exposure

Preferred:

• DevOps and Engineering Practice: Git and Git-based branching strategies, Azure DevOps or GitHub Actions, Docker and container image optimization, Infrastructure as Code (Terraform, Bicep, or AWS CDK), CI/CD pipeline authoring, environment, and configuration management.
• Testing and Quality: Jest, React Testing Library, Pytest, Playwright or Cypress, unit/integration/end-to-end test design, mocking strategies, code coverage discipline, static analysis and linting (ESLint, SonarQube).
• Security and Compliance: OAuth 2.0 / OIDC, JWT handling, role-based access control, secrets, and certificate management, OWASP Top 10 awareness, PII and sensitive data handling, audit logging.
• Observability: Structured logging, distributed tracing, Application Insights or CloudWatch, custom metrics, LLM interaction and token telemetry, alerting, and dashboard configuration.
• Tools and Collaboration: Azure DevOps Boards or Jira, Confluence, Postman, VS Code, AI-assisted development tooling (GitHub Copilot, Claude Code, or equivalent), Agile/Scrum ceremonies.