Assist in designing and building AI-enabled applications, agents, workflows, and automation tools. Integrate large language models, machine learning models, APIs, and data pipelines into business systems. Develop prototypes and proof-of-concept solutions for internal and client use cases. Support AI use cases involving document processing, summarisation, classification, knowledge retrieval, data extraction, and decision support. Build reusable components, scripts, and services that can be deployed across multiple projects. Software Engineering and Integration Integrate AI services with databases, APIs, workflow tools, dashboards, and enterprise systems. Support backend services, automation scripts, and lightweight front-end interfaces were required. Participate in code reviews, testing, debugging, and deployment activities. Maintain version-controlled source code and follow Veritas development standards. Data and Model Support Prepare, clean, transform, and structure data for AI and an...