<p><p><b>Experience : 10+ Years</b><br/><br/><b>Work location : Bangalore, Chennai, Hyderabad, Pune Remote</b><br/><br/><b>Designation : GEN AI Engineer</b><br/><br/><b>Shift Time : 2 to 11 PM IST</b><br/><br/><b>Role Overview : </b><br/><br/></p><p>We are seeking a highly skilled and visionary AI Solution Designer and Implementor to lead the design, development, and deployment of advanced AI/ML solutions across Retail Analytics Engineering Platforms.
</p><p><br/></p><p>This role demands deep expertise in Generative AI, LLMs, Agentic AI, and MLOps practices, with a strong focus on delivering scalable, production-ready Responsibilities : </b></p><p><br/></p>- Architect and implement enterprise-scale AI/ML solutions including Generative AI, Agentic systems, and LLM applications ( including fine-tuning)<br/><br/></p><p>- Design and deploy intelligent AI agents using frameworks like LangChain & LangGraph to enhance user experience and operational efficiency<br/><br/></p><p>- Build and optimize NLP/document processing pipelines using GCP/Azure tech stack<br/><br/></p><p>- Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.<br/><br/></p><p>- Establish and maintain robust LLMOps/MLOps practices for model lifecycle management.<br/><br/></p><p>- Develop and deploy models using PyTorch, MLFlow, and FastAPI.<br/><br/></p><p>- Ability to Implement scalable ML infrastructure, Kubernetes, and CI/CD automation (GitHub Actions)<br/><br/></p><p>- Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure Skills & Technologies : </b></p><p><br/></p>- AI/ML Tools : LangChain, LangGraph, PyTorch, MLFlow,<br/><br/></p><p>- Cloud Platforms : GCP Vertex AI, Kubernetes<br/><br/></p><p>- DevOps & Automation : GitHub : </b></p><p><br/></p>- Bachelors degree in Computer Science, Engineering, or related field.<br/><br/></p><p>- 10+ years of experience in IT systems and AI/ML solution delivery.<br/><br/></p><p>- Proven track record in designing and deploying enterprise AI solutions.<br/><br/></p><p>- Strong understanding of cloud-native architectures and scalable AI (Preferred) : </b>GCP and/or Azure</p></p><br/></p> (ref:hirist.tech)