Agentic AI Full Stack Developer

Quadlabs Technologies; Gurugram District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Quadlabs Technologies seeks an Agentic AI Full Stack Developer to build AI agents, APIs, web apps, and cloud deployments. You will implement MCP servers, LLM-powered apps, and scalable backend services using Python, FastAPI, REST, and async code; plus frontend with React/TypeScript.

Strong PostgreSQL experience is needed; MongoDB/Redis and vector DBs are a plus. Experience with Docker, Nginx, Linux, Azure/AWS is expected.

Qualifications

• Experience in building AI agents and multi-agent systems.
• Proficiency with Python, FastAPI and REST APIs in production.
• Frontend experience with React/Angular and TypeScript a plus.

Responsibilities

• Design and develop AI agents, agentic workflows, RAG, and multi-agent systems.
• Build LLM-powered applications using Python, LangGraph/LangChain, OpenAI/Azure OpenAI.
• Develop MCP servers using FastMCP and expose enterprise APIs, databases, and business capabilities as MCP tools.
• Integrate MCP servers with AI agents and workflows.
• Build scalable backend services using Python, FastAPI, REST APIs, and async programming.
• Develop frontend applications using React and/or Angular and TypeScript.
• Design and optimize PostgreSQL databases; experience with MongoDB, Redis, pgvector/ChromaDB is a plus.
• Containerize and deploy applications using Docker, Docker Compose, Nginx, and Linux.
• Work with cloud platforms such as Azure / AWS and CI/CD pipelines.
• Implement authentication, authorization, logging, monitoring, error handling, and production-grade reliability.

Skills

LLMs

Agentic AI

RAG

LangChain

Python

MCP

FastMCP

FastAPI

REST APIs

Async programming

React

Angular

TypeScript

PostgreSQL

MongoDB

Redis

Docker

Docker Compose

Nginx

Linux

Git

CI/CD

Azure

AWS

Tools

Docker

Docker Compose

Nginx

Linux

Git

CI/CD

Job description

We are looking for an Agentic AI Full Stack Developer with strong experience in building production-grade AI agents, APIs, web applications, databases, and cloud deployments.

Key Responsibilities

• Design and develop AI agents, agentic workflows, RAG, and multi-agent systems.
• Build LLM-powered applications using Python, LangGraph/LangChain, OpenAI/Azure OpenAI, etc.
• Develop MCP servers using FastMCP and expose enterprise APIs, databases, and business capabilities as MCP tools.
• Integrate MCP servers with AI agents and workflows.
• Build scalable backend services using Python, FastAPI, REST APIs, and async programming.
• Develop frontend applications using React / Angular and TypeScript.
• Design and optimize PostgreSQL databases; experience with MongoDB, Redis, pgvector/ChromaDB is a plus.
• Containerize and deploy applications using Docker, Docker Compose, Nginx, and Linux.
• Work with cloud platforms such as Azure / AWS and CI/CD pipelines.
• Implement authentication, authorization, logging, monitoring, error handling, and production-grade reliability.

Required Skills

AI: Python, LLMs, Agentic AI, RAG, LangGraph/LangChain, Tool Calling, MCP, FastMCP

Backend: Python, FastAPI, REST APIs, Async Programming, Pydantic

Frontend: React and/or Angular, TypeScript, JavaScript

Database: PostgreSQL, SQL, Redis/MongoDB, Vector DB / pgvector

DevOps: Docker, Docker Compose, Nginx, Linux, Git, CI/CD

Cloud: Azure / AWS

Good to Have

• Multi-agent architectures
• MCP authentication and multi-tenancy
• Azure OpenAI / Azure AI Foundry
• LiteLLM
• Kubernetes
• OpenTelemetry / Prometheus / Grafana
• Experience building enterprise AI assistants