Full Stack Developer - AI Agents

Required Skills & Qualifications :

• 3+ years of experience in fullstack 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 in Google cloud/ GCP certification.

Preferred / Good to Have :

• 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.

• GCP Certification.

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.