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.