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Python, React- Fullstack- Agentic AI Deployment- India

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Onsite

Python, React- Fullstack- Agentic AI Deployment- India

Cloudxtreme

Python, React- Fullstack- Agentic AI Deployment- India

Skills

ReactNodePythonDatabricksGraphQLAISalesforce

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

4 September 2026

What they need


Role & responsibilities

Skills : Python + React js + 1 AI agent deployed

JD:

We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.

Key Responsibilities

  • Design, develop, and deploy AI agents for business-critical workflows, focusing on LLM orchestration and tools.
  • Implement complex agentic behaviors using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
  • Design and develop a high-performance React application for the agent's user interface.
  • Collaborate with backend teams to integrate APIs and services, and build tools for agents.
  • Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
  • Implement comprehensive observability and tracing for agent runs and system performance.
  • Build reusable, scalable UI components.
  • Optimize application performance, responsiveness, and scalability.
  • Participate in architectural discussions and contribute to solution design.
  • Write clean, maintainable, and testable code with proper documentation.

Required Skills & Experience

  • 6+ years of experience in full stack development, with strong expertise in Python and React.js.
  • Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application.
  • Deep expertise in LLM orchestration, prompt engineering, and utilizing tools/plugins to extend agent capabilities.
  • Experience with agent frameworks like LangChain or LangGraph, including implementing reasoning patterns like the ReAct loop.
  • Experience with observability, logging, and tracing for AI agents.
  • Experience building large-scale, enterprise-grade applications.
  • Strong experience with API integration (REST/GraphQL).
  • Experience working in Agile/Scrum environments.

Preferred / Good to Have

  • Experience with Node.js or Python for middleware development
  • Understanding of Salesforce APIs (REST, Apex, RLM/CPQ)
  • Experience with event-driven architectures (webhooks, CDC, async processing)
  • Knowledge of CI/CD pipelines and DevOps practices
  • Experience with Databricks platform and Mosaic AI

What Were Looking For

  • Strong problem-solving and system design skills
  • Ability to work across frontend and backend integration layers
  • Ownership mindset with attention to detail
  • Good communication and collaboration skills

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