HYrEzy Tech Solutions
Website:
hyrezy.com
Company:
https://www.linkedin.com/company/hyrezy-tech-solutions
Seniority: Mid-Senior level
Industries: Technology, Information and Internet
Job details:
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.
- Voice AI: Hands-on experience with Speech-to-Text (STT), Text-to-Speech (TTS), OpenAI Realtime API, Streaming Audio, Voice Activity Detection (VAD), and Realtime WebSocket APIs.
- 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)
Skills: fastapi,asyncio,enterprise,automation,openai,databases,microservices,llamaindex,webscokets,restapi,langchain,huggingface,llm,optimization,vector db,prompt,models,python,generative ai
Click on Apply to know more.