<p><p>We are seeking a talented Generative AI Engineer with strong expertise in machine learning and agentic AI frameworks to design, develop, and deploy next-generation AI solutions.
In this role, you will work on building intelligent systems that leverage LLMs, autonomous agents, and advanced ML models to solve complex business problems at scale.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design and implement LLM-based applications and agentic AI systems for diverse enterprise use cases.<br/><br/></p><p>- Build and fine-tune machine learning and deep learning models, integrating them into scalable AI-driven solutions.<br/><br/></p><p>- Leverage frameworks like LangChain, LlamaIndex, RAG pipelines, and vector databases for generative AI applications.<br/><br/></p><p>- Preprocess, analyze, and interpret large-scale structured and unstructured datasets.<br/><br/></p><p>- Deploy and scale models on cloud platforms (AWS, Azure, GCP) using Docker and Kubernetes.<br/><br/></p><p>- Collaborate with data scientists, ML engineers, and product teams to bring AI agents and ML models into production environments.<br/><br/></p><p>- Continuously optimize AI models and autonomous agents for accuracy, adaptability, and efficiency.<br/><br/></p><p>- Maintain model lifecycle: training, evaluation, monitoring, retraining, and governance.<br/><br/></p><p>- Stay ahead with the latest advancements in Generative AI, agent frameworks, and applied ML research.</p><br/></p> (ref:hirist.tech)