Teams at Cloudelligent

Develop, optimize, and deploy AI and machine learning solutions using AWS services, foundation models, RAG, vector databases, and agentic AI frameworks. Lead AI engineers, improve model reliability and performance, integrate AI capabilities into products, and collaborate with technical and non-technical stakeholders. The role also involves prompt engineering, data processing, model evaluation, and adopting emerging AI technologies.

Lead the development, optimization, and deployment of AI solutions using AWS services, generative AI, RAG, vector databases, and machine learning frameworks. Fine-tune models, improve reliability, reduce hallucinations, and integrate AI capabilities into products. Lead AI engineers, manage projects, collaborate with stakeholders, and evaluate emerging technologies. The role also involves prompt engineering, data preprocessing, feature engineering, and scalable model deployment.

Lead the development, optimization, and deployment of AI solutions using AWS services, machine learning frameworks, generative AI, RAG, vector databases, and prompt engineering. Guide AI engineers, integrate AI capabilities into products, improve model reliability, and collaborate with technical and non-technical stakeholders.