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Python Full Stack Developer with Agentic AI(Python, React, Agentic AI)

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Hybrid

Python Full Stack Developer with Agentic AI(Python, React, Agentic AI)

Bounteous

Python Full Stack Developer with Agentic AI(Python, React, Agentic AI)

Skills

Google Cloud PlatformMongoDBDockerReactTypescriptDjangoFlaskPythonPostgreSQLRedisGraphQLAIAWSFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

2 September 2026

What they need


Overview

We are looking for an AI Generative Full Stack Developer with strong experience in Python, React, and Generative AI technologies. The ideal candidate should have hands-on experience building AI-powered applications, integrating LLMs, developing Agentic AI workflows, and delivering scalable full stack solutions in production environments.

Required Skillsets

  • Strong experience in Python development using FastAPI, Django, or Flask.
  • Hands-on experience in React.js and TypeScript for building modern web applications.
  • Experience working with Large Language Models (LLMs) such as Claude, OpenAI, Gemini, or similar platforms.
  • Good understanding of Agentic AI concepts and frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.
  • Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases.
  • Exposure to MCP (Model Context Protocol), tool integrations, and AI workflow orchestration.
  • Strong knowledge of REST APIs, GraphQL, database design, and system integrations.
  • Experience working with PostgreSQL, MongoDB, Redis, or similar databases.
  • Hands-on experience with Docker and cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with Git, CI/CD pipelines, and Agile development methodologies.

Roles & Responsibilities

  • Design, develop, and deploy AI-powered full stack applications using Python and React.
  • Build and maintain Agentic AI solutions, LLM pipelines, and intelligent automation workflows.
  • Integrate Claude, OpenAI, Gemini, and other AI services into enterprise applications.
  • Develop scalable backend services, APIs, and frontend user experiences.
  • Implement RAG frameworks and vector database integrations to enhance AI responses.
  • Collaborate with Product, Design, and Engineering teams to deliver end-to-end solutions.
  • Optimize application performance, reliability, scalability, and AI model effectiveness.
  • Follow engineering best practices including code reviews, testing, documentation, and deployment processes.
  • Stay updated with emerging trends and advancements in Generative AI and Agentic AI technologies.

Mandatory Skills

Python, React.js, TypeScript, Generative AI, LLMs, Claude/OpenAI APIs, Agentic AI, LangGraph/LangChain, RAG, Vector Databases, FastAPI, Cloud Platforms, Docker, and Git.

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