
INTL India - Senior Full Stack Developer
San Francisco, CAJobPosted 2mo ago
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Job overview
Insight Global is hiring an INTL India - Senior Full Stack Developer. Insight Global is seeking a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications leveraging Large Language Models (LLMs). This role focuses on end-to-end agent development, including building React frontends, designing Python agentic logic, integrating backend services, and ensuring production readiness for AI applications.
Key focus areas include 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., and Design and develop a high-performance React application for the agent's user interface..
Successful candidates bring 5+ Years Full Stack Experience and 1 Production AI Agent Deployed. Important skills include React, Python, LangChain, LangGraph, Observability, and Tracing.
Skills & qualifications
Skills
Qualifications
Full 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 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.
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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/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 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.
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Strong experience with API integration (REST/GraphQL).
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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
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