AI Engineer

Role OverviewWe are looking for an AI Engineer – Agentic AI with hands-on experience in building intelligent AI applications using LLMs, Agentic AI, multi-agent systems, and real-time Voice AI. The ideal candidate should have strong Python skills and practical experience developing AI agents, integrating LLMs with APIs and databases, implementing RAG, and building scalable AI solutions.ResponsibilitiesDevelop and deploy Agentic AI and LLM-powered applications.Build and orchestrate multi-agent AI systems.Work with frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.Develop real-time Voice AI and conversational AI solutions using STT, TTS, streaming, and voice APIs.Implement RAG (Retrieval-Augmented Generation), tool calling, memory, and prompt engineering.Integrate LLMs with APIs, databases, and external tools.Optimize AI applications for performance, latency, scalability, and reliability.RequirementsStrong programming skills in Python.Hands-on experience with LLMs and Generative AI.Practical experience building AI Agents / Agentic AI applications.Experience with multi-agent orchestration.Experience with real-time Voice AI / Conversational AI.Knowledge of RAG, vector databases, embeddings, and APIs.Experience working with LLM platforms such as OpenAI, Anthropic/Claude, or Gemini.Nice to HaveKnowledge of AWS, Azure, or GCP.Experience working with Docker.SkillsPythonLangChainLLMsRAGAgentic AI