2 - 6 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a highly motivated GenAI Engineer with a strong background in working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. As a GenAI Engineer, you will be involved in designing, building, and expanding digital products and creative applications that capitalize on the latest LLM technologies available. In this role, you will take on a lead position in product development, offering AI services to clients, facilitating client onboarding, and delivering cutting-edge AI solutions. You will collaborate with a variety of modern AI tools, cloud services, and frameworks to achieve these objectives. Your key responsibilities will include designing and implementing generative AI solutions using LLMs, NLP, and computer vision, developing and scaling digital products with LLMs at their core, leading product development and operations teams to implement GenAI-based solutions, managing client onboarding and adoption strategies, delivering enhancements based on client-specific requirements, building and maintaining RAG pipelines and LLM-based workflows for enterprise applications, overseeing LLMOps processes throughout the AI lifecycle, working with cloud-based GenAI platforms such as Azure OpenAI, Google, and AWS, implementing API integrations, orchestration, and workflow automation, as well as evaluating, fine-tuning, and monitoring the performance of LLM outputs using observability tools. The ideal candidate will possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent hands-on experience, along with a minimum of 2 years of practical experience in software development or applied machine learning. Proficiency in Azure AI services, including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning, is required. Additionally, the candidate should have proven experience with LLM APIs, hands-on experience in building and deploying RAG pipelines, proficiency in Python and its ecosystems and libraries, familiarity with core GenAI frameworks, experience with vector databases, practical knowledge of embeddings, model registries, LLM APIs, prompt engineering, tool/function calling, structured outputs, LLM observability tools, as well as strong Git, API, and cloud platform experience. This is a full-time position based in Mohali, Punjab, with on-site work mode and day shift timings from 10:00 AM to 7:00 PM, Monday to Friday. The interview mode will be face-to-face on-site, and interested candidates can contact +91-9872993778 for further information.,

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