The AI Engineer will:Lead the company's AI initiatives and drive the adoption of the latest generative AI (GenAI) technologies and languagesImplement and manage chatbots, advisory systems, and other AI-powered solutions to enhance the company's products and servicesResearch and evaluate modern AI technology stacks, platforms, and tools to identify the most suitable solutions for the company's needsDesign, develop, and deploy production-ready AI-powered applications and systemsCollaborate with cross-functional teams, including engineering, product, and business stakeholders, to understand requirements and deliver effective AI-driven solutionsPresent AI initiatives and solutions to stakeholders, demonstrating their value and impact on the businessIn this role, we are looking for someone with:Extensive experience in implementing and managing AI-powered applications, including chatbots, advisory systems, and other AI-based solutionsProficient in the latest GenAI technologies, languages, and frameworks, such as GPT-3, DALL-E, Whisper, and Stable DiffusionProven track record of delivering production-ready AI solutions and presenting them effectively to stakeholdersStrong understanding of modern AI technology stacks, including cloud-based AI platforms, machine learning frameworks, and data engineering toolsExcellent problem-solving, critical thinking, and analytical skills to identify and address complex AI-related challengesEffective communication and collaboration skills to work with cross-functional teams and stakeholdersBachelor's degree in Computer Science, Data Science, or a related field; advanced degree preferredGood to have:Experience in deploying and managing AI-powered applications in a production environmentFamiliarity with DevOps practices and tools for AI/ML model deployment and monitoringKnowledge of natural language processing (NLP), computer vision, and other AI/ML domainsHands-on experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)Understanding of ethical considerations and responsible AI practices