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Agentic AI Full Stack Developer

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Onsite

Agentic AI Full Stack Developer

Quadlabs Technologies

Agentic AI Full Stack Developer

Skills

SQL QueriesMongoDBDockerReactTypescriptPythonPostgreSQLRedisGrafanaAIAWSPrometheusLinuxKubernetesFastAPIJavascriptAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

22 September 2026

What they need


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

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