Senior Full Stack Developer - INTL India

Insight Global
San Francisco, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Francisco, United States of America

Tech stack

Artificial Intelligence
DevOps
Middleware
Human-Computer Interaction
Python
Node.js
Data Streaming
Web Services
Data Logging
Apex Code
React
Delivery Pipeline
Large Language Models
Multi-Agent Systems
Prompt Engineering
Backend
Event Driven Architecture
Build Tools
GraphQL
Front End Software Development
Virtual Agents
REST
Webhooks
Databricks

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

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.

  • 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

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