Full Stack Developer

Location: Bangalore (on-site)

Type: Full-time

Experience: 0-2 years

Position Overview

We are seeking a Full Stack Developer to build AI-powered applications using Bhindi Context Protocol (BCP) agents. You will develop custom BCP agents, create RESTful APIs.

Core Technical Requirements

BCP Agent Development

- Model Context Protocol specification and implementation

- Tool definition and custom tool development

- Resource providers and data source integration

- Prompt templates and context management

- Transport layer protocols (stdio, SSE, WebSocket)

- Agent lifecycle management and error handling

- JSON-RPC protocol implementation

- Real-time communication patterns

MERN Stack Expertise

- React: functional components, hooks (useState, useEffect, useContext)

- Node.js: server-side JavaScript and async programming

- Express.js: RESTful API development and middleware

- MongoDB: document modeling, CRUD operations, aggregation

- Mongoose ODM for schema design and validation

- React Router for client-side navigation

- State management and component architecture

API Development

- RESTful API design principles and best practices

- HTTP methods, status codes, and error handling

- Request/response body structure and validation

- API versioning and documentation

- Authentication with JWT tokens

- Authorization and role-based access control

- Input validation and sanitization

- Rate limiting and security implementation

Backend Development

- Express.js server setup and configuration

- Middleware implementation and request processing

- Database connection and query optimization

- Error handling and logging

- Environment configuration management

- Security best practices (CORS, HTTPS, XSS protection)

- Session management and cookie handling

- File upload and processing

Database Management

- MongoDB document structure and collections

- Schema design and data relationships

- Indexing strategies and query optimization

- Database migrations and seeding

- Connection pooling and performance tuning

- Backup and recovery procedures

- Data validation and constraints

Integration Skills

- MCP agent integration with web APIs

- Real-time data synchronization

- WebSocket implementation for live updates

- Event-driven architecture patterns

- Message queuing for async operations

- Third-party API integration

- Data transformation and mapping

- Error propagation and handling

Technical Challenges You'll Solve

- Build custom MCP tools for specific business logic

- Integrate AI agents with traditional web applications

- Design scalable API architectures for agent communication

- Implement real-time updates between agents and frontend

- Create intuitive interfaces for AI-powered features

- Optimize performance for agent-heavy applications

Required Experience

- 0-2 years full-stack development with MERN stack

- Built and deployed RESTful APIs in production

- Experience with real-time web applications

- Knowledge of AI/ML integration patterns

- Database design and optimization experience

- Authentication and security implementation

Preferred Qualifications

- Experience with MCP or similar AI agent protocols

- Knowledge of AI/ML concepts and APIs

- WebSocket and real-time communication experience

- Docker containerization experience

- Cloud deployment (AWS, GCP, Azure)

- TypeScript proficiency

- Open source contributions

Tech Stack

Backend: Node.js, Express.js, TypeScript

Database: MongoDB, Mongoose

MCP: Model Context Protocol, JSON-RPC

Tools: Git, npm/yarn, Jest, ESLint, Prettier

Deployment: Docker, cloud platforms