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# INTL India - Senior Full Stack Developer

- **Company:** Insight Global
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, DevOps, Middleware, Human-Computer Interaction, Python (Programming Language), Node.Js, Data Streaming, Web Services, Data Logging, Apex Code, ReactJS, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Event Driven Architecture, Build Tools, Graphql, Front End Software Development, Virtual Agents, Restful APIs, Webhooks, Databricks
- **Published:** July 8, 2026
- **Apply:** https://dejobs.org/x/x/8D06BA5820F34EABA9F8C1A462A41309/job/

## About the Role

* Agentbricks and Databricks experience, 5+ 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. * 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

## Description

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


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