AI Agent Developer, LLM, RAG, Agentic AI, Multi-Tenant & Automation Expert with Voice Expertise

We’re looking for an experienced AI Agent Developer to build production-ready AI solutions powered by LLMs, RAG, Agentic AI, multi-agent systems, and automation. The ideal candidate should have hands-on experience building AI systems that can understand user requests, retrieve relevant information, reason through tasks, use external tools, and complete workflows with minimal human intervention. What You’ll Be Doing Develop intelligent AI agents and agentic workflows Integrate LLMs and LLM APIs into production applications Build RAG and knowledge-based AI solutions Design multi-agent systems with specialized agents Implement AI reasoning, memory, context management, and tool calling Connect AI agents with APIs, databases, CRMs, SaaS platforms, and external tools Build automated workflows for AI-driven task execution Develop AI assistants and copilots for business use cases Optimize AI responses, accuracy, latency, and reliability Implement monitoring, fallbacks, error handling, and production safeguards Work with voice AI/conversational agents where required What We’re Looking For Proven experience developing AI agents and LLM applications Strong hands-on experience with RAG and Agentic AI Experience building multi-agent architectures Strong understanding of LLM APIs and AI workflows Experience with API integrations, tool calling, and automation Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks Strong Python and/or Node.js development skills Experience with vector databases and PostgreSQL Ability to build and deploy production-ready AI systems Voice Agent experience is a plus To Apply Please share examples of AI agents, LLM applications, RAG systems, multi-agent workflows, automation, or voice AI solutions you’ve built. Briefly mention what you built, the technologies used, and how the AI system performed its tasks.