Job Description :
Title : Azure GenAI Engineer
Location : Mumbai, Pune, Chennai, Bangalore, Kolkata, Noida, Hyderabad.
Work Mode : Hybrid
Exp : 6 to 8 Years & 8 To 12 Years
Job Summary :
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.
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.
Key Responsibilities :
LLM System Development :
- Design, develop, and fine-tune LLM-powered applications and intelligent agents.
Multi-Agent Orchestration :
Build agent workflows using AutoGen, LangChain, or similar frameworks for inter-agent and API communication.Prompt Engineering :
Craft effective prompts to optimize LLM behavior across diverse tasks and domains.API Development & Integration :
Develop and integrate APIs for interaction between agents, LLMs, and backend services.Azure AI Integration :
Leverage Azure Cognitive Services and cloud-native tools for scalable GenAI deployments.RAG Implementation :
Build and optimize retrieval-augmented generation pipelines for contextual awareness.Code Review & Best Practices :
Conduct peer code reviews and enforce high standards in code quality and architecture.Team Collaboration & Mentorship :
Collaborate with Development Managers and mentor junior developers to foster growth and innovation.Mandatory Skills :
Advanced Python programmingHands-on experience with AutoGen, LangChain, or similar multi-agent frameworksStrong expertise with OpenAI API (ChatGPT, GPT-4, etc.)Deep understanding of Prompt EngineeringExperience building LLM-based systemsProficient in Azure AI and cloud servicesExperience with RAG (Retrieval-Augmented Generation) techniquesSolid experience in API development and integrationGood to Have :
Experience with vector databases (e.g., FAISS, Pinecone)Familiarity with MLOps, CI / CD pipelines for AI projectsPrior experience in building enterprise-grade GenAI solutions(ref : hirist.tech)