Generative AI Engineer - LLM

<p><p><b>Role Overview : </b><br/><br/>We are seeking a Generative AI Engineer to design, build, and optimize AI-driven solutions powered by large language models (LLMs).<br/><br/>This role combines AI strategy, data engineering, and applied machine learning.</p><p><br/></p><p><b>Key Responsibilities : </b></p><p><br/></p><p>- Develop LLM-powered applications for enterprise workflows.<br/><br/></p><p>- Build data pipelines in Python/SQL for training and fine-tuning models.<br/><br/></p><p>- Integrate AI APIs (OpenAI, Hugging Face, LangChain) into production applications.<br/><br/></p><p>- Ensure ethical AI practices, bias reduction, and compliance.<br/><br/></p><p>- Collaborate with business stakeholders to define AI use cases and roadmaps.<br/><br/></p><p>- Monitor model performance, retrain when required, and optimize deployment Skills : </b></p><p><br/></p><p>- Programming : Python, SQL.</p><p><br/></p>- Hands-on with LLMs and generative AI frameworks.<br/><br/></p><p>- Strong understanding of AI/ML model deployment and : </b></p><p><br/></p><p>- Familiarity with LangChain, Hugging Face Transformers, OpenAI API.</p><p><br/></p>- Cloud-based AI solutions (AWS Sagemaker, Azure AI, GCP Vertex).<br/><br/></p><p>- Knowledge of vector databases (Pinecone, Weaviate, : </b></p><p><br/></p><p>- Bachelors/Masters degree in Computer Science, Data Science, or related field.</p><p><br/></p>- 4 - 8 years of applied AI/ML experience</p><br/></p> (ref:hirist.tech)