Lead AI Engineer (Conversational AI & LLMs) in Hyderabad, भारत

Lead AI Engineer (Conversational AI & LLMs) Position Details Location: Hyderabad (Development Centre) Work Mode: 5 Days WFO (Sunday & Monday week-off) Experience Required: 5 to 8 years Employment Type: Full-Time (Permanent) Compensation Budget: ₹15 LPA - ₹24 LPA Notice Period: 0 to 15 Days (Immediate joiners highly preferred) About the Client Our client is a well-established, US-headquartered enterprise product company with a multi-decade legacy in the communications technology space. They operate a rapidly expanding development center in Hyderabad and are currently scaling their operations targeting a 5-10x yearly growth trajectory. They offer a highly stable, product-driven engineering culture, robust employee benefits, comprehensive health insurance, and the opportunity to build cutting-edge tech from scratch. About the Role We are seeking a highly skilled Lead AI Engineer to architect and build next-generation conversational AI, voice AI, and autonomous agent systems. In this role, you will spearhead the development of AI-powered enterprise applications using state-of-the-art Large Language Models (LLMs), real-time audio streaming, and Retrieval-Augmented Generation (RAG) pipelines. You will be responsible for optimizing models for latency, token efficiency, and accuracy while collaborating closely with cross-functional product and DevOps teams to integrate these solutions into core enterprise platforms. Key Responsibilities Design and develop highly scalable AI-powered enterprise applications using LLMs. Build Voice AI solutions optimized for real-time, low-latency conversational systems. Develop autonomous AI Agents capable of reasoning, planning, and executing complex tool-calling workflows. Design, build, and implement highly efficient RAG pipelines utilizing advanced vector databases. Integrate AI services seamlessly with REST APIs, WebSockets, SIP, and existing enterprise infrastructure. Develop and maintain highly scalable backend microservices using Python. Optimize all AI applications and workflows for latency, token cost reduction, and response accuracy. Evaluate, benchmark, and integrate emerging AI frameworks and models into the production stack. Required Technical Expertise Programming & Backend: Expert-level proficiency in Python (Mandatory). Strong hands-on experience with FastAPI, Django, REST APIs, WebSockets, Asyncio, and Microservices architecture. Large Language Models (LLMs): Proven experience with OpenAI APIs, GPT-4o/GPT-5, and Claude. Deep understanding of Prompt Engineering, Function/Tool Calling, Structured Outputs, JSON Schema, Context Window Management, Token Optimization, and Model Evaluation. RAG & Databases: Strong experience building RAG systems utilizing Embeddings and Vector Databases (Redis, Pinecone, Weaviate, Qdrant, or Milvus). AI Libraries & Frameworks: Proficiency with the OpenAI SDK, LangChain, LlamaIndex, Hugging Face Transformers, Sentence Transformers, and Pydantic AI. Preferred Qualifications (Good-to-Have) Strong domain experience in Conversational AI, Voice AI, AI Assistants, Customer Support Automation, or Workflow Automation. Familiarity with JavaScript or TypeScript. Hands-on experience with the Gemini ecosystem. Knowledge of MCP (Model Context Protocol), AI Guardrails, Prompt Versioning, Cost Optimization strategies, and AI Evaluation Frameworks. Interview Process & Logistics Round 1: Technical Coding Assessment Round 2: Technical Interview (Face-to-Face) Round 3: Techno-Managerial & HR Discussion Office Timings: 10:00 AM to 7:00 PM Interview Slots: 11:00 AM to 6:00 PM (Weekend drives are available) Key Skills: Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, Voice AI, FastAPI, Vector Databases, AI Agents, Prompt Engineering, Microservices