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Senior Full Stack Developer - INTL India

  • Job type Posted on: Jul 12, 2026
  • Experience level Insight Global
  • Employment type San Francisco, California
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Full Stack Developer - INTL India

Job Type :

Full-time

Job Location :

San Francisco California United States

Remote :

No

Jobcon Logo Job Description :

Job 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 behaviours 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements 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 one 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. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 12, 2026

Reference Number:

14660_B67C14830BAD9812EDF7EC40C33EFD53

Employment:

Full-time

Salary:

Not Available

City:

San Francisco

Job Origin:

APPCAST_CPC

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Job 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 behaviours 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements 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 one 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. #J-18808-Ljbffr

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