Azure Generative AI Engineer

3 weeks ago

Mumbai, India HARP Technologies and Services Full time

Job Description :Title : Azure GenAI EngineerLocation : Mumbai, Pune, Chennai, Bangalore, Kolkata, Noida, Hyderabad.Work Mode : HybridExp : 6 to 8 Years & 8 To 12 YearsJob 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 programming- Hands-on experience with AutoGen, LangChain, or similar multi-agent frameworks- Strong expertise with OpenAI API (ChatGPT, GPT-4, etc.)- Deep understanding of Prompt Engineering- Experience building LLM-based systems- Proficient in Azure AI and cloud services- Experience with RAG (Retrieval-Augmented Generation) techniques- Solid experience in API development and integrationGood to Have :- Experience with vector databases (e.g., FAISS, Pinecone)- Familiarity with MLOps, CI/CD pipelines for AI projects- Prior experience in building enterprise-grade GenAI solutions (ref:hirist.tech)

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