INTL India - Senior Full Stack Developer

Insight Global

San Francisco, CA, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Artificial Intelligence DevOps Middleware Human-Computer Interaction Python (Programming Language) Node.Js Data Streaming Web Services Data Logging Apex Code ReactJS Delivery Pipeline

+12 more

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

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