• Collaborate with the CTO, AI consultant, and development team to design and deploy robust, scalable AI/ML architectures • Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms • Experiment with new LLMs, embeddings, vector databases, and orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar) • Lead hands-on development/ prototyping of LLM-based applications, intelligent agents, and automation workflows • Define AI architecture standards, establish model governance, and contribute to the long-term AI strategy in collaboration with the CTO • Partner with business and technical leaders to translate strategic AI goals into actionable engineering initiatives • Design systems for high availability, scalability, and efficient deployment in cloud environments (Azure, AWS, or GCP) • Create technical documentation, architecture diagrams, and playbooks for deployment and scaling of AI solutions • Participate in code reviews, mentor junior developers, and foster a culture of innovation and excellence in AI engineering • Stay at the forefront of emerging AI frameworks, APIs, and tools, bringing forward practical innovations to enhance our products and systems