<p><p><b>Job Description :</b><br/><br/><b>Title :</b> Azure GenAI Engineer<br/><br/>Location : Mumbai, Pune, Chennai, Bangalore, Kolkata, Noida, Hyderabad.<br/><br/>Work Mode : Hybrid<br/><br/>Exp : 6 to 8 Years & 8 To 12 Years<br/><br/><b>Job Summary :</b><br/><br/>We are hiring AI Engineers with strong expertise in Python, Generative AI, and multi-agent frameworks to join our growing AI/ML engineering team.
You will play a key role in designing, developing, and deploying LLM-powered intelligent systems using frameworks like AutoGen, LangChain, and Azure AI services.<br/><br/>This role involves building multi-agent orchestration workflows, integrating with OpenAI APIs, and applying prompt engineering and retrieval-augmented generation (RAG) techniques to solve real-world business problems.<br/><br/><b>Key Responsibilities :</b><br/><br/><b>LLM System Development :</b><br/><br/>- Design, develop, and fine-tune LLM-powered applications and intelligent agents.<br/><br/><b>Multi-Agent Orchestration :</b><br/><br/>- Build agent workflows using AutoGen, LangChain, or similar frameworks for inter-agent and API communication.<br/><br/><b>Prompt Engineering :</b><br/><br/>- Craft effective prompts to optimize LLM behavior across diverse tasks and domains.<br/><br/><b>API Development & Integration :</b><br/><br/>- Develop and integrate APIs for interaction between agents, LLMs, and backend services.<br/><br/><b>Azure AI Integration :</b><br/><br/>- Leverage Azure Cognitive Services and cloud-native tools for scalable GenAI deployments.<br/><br/><b>RAG Implementation :</b><br/><br/>- Build and optimize retrieval-augmented generation pipelines for contextual awareness.<br/><br/><b>Code Review & Best Practices :</b><br/><br/>- Conduct peer code reviews and enforce high standards in code quality and architecture.<br/><br/><b>Team Collaboration & Mentorship :</b><br/><br/>- Collaborate with Development Managers and mentor junior developers to foster growth and innovation.<br/><br/><b>Mandatory Skills :</b><br/><br/>- Advanced Python programming<br/><br/></p><p>- Hands-on experience with AutoGen, LangChain, or similar multi-agent frameworks<br/><br/></p><p>- Strong expertise with OpenAI API (ChatGPT, GPT-4, etc.)<br/><br/></p><p>- Deep understanding of Prompt Engineering<br/><br/></p><p>- Experience building LLM-based systems<br/><br/></p><p>- Proficient in Azure AI and cloud services<br/><br/></p><p>- Experience with RAG (Retrieval-Augmented Generation) techniques<br/><br/></p><p>- Solid experience in API development and integration<br/><br/><b>Good to Have :</b><br/><br/>- Experience with vector databases (e.g., FAISS, Pinecone)<br/><br/></p><p>- Familiarity with MLOps, CI/CD pipelines for AI projects<br/><br/></p><p>- Prior experience in building enterprise-grade GenAI solutions</p><br/></p> (ref:hirist.tech)