As an AI Automation / Application Engineer, you are a hands-on builder reporting to the Digital, Data and AI Infrastructure Lead. You turn operational business challenges into functional, high-impact tools-delivering rapid prototypes, automated data flows, and AI-enabled dashboards that streamline everyday workflows across the organization.Key ResponsibilitiesHere is an overview of the core responsibilities:AI Agents and Skills: Build practical AI assistants to handle repetitive tasks, automated document checks, and self-assembling reports.Agentified Dashboards: Develop and deploy R Shiny (or Shiny for Python) applications embedded with natural-language AI co-pilots.Process Automation: Streamline manual operational processes across spreadsheets, enterprise tools, and business systems.Human-in-the-Loop Workflows: Implement supervised automation patterns requiring human review and approval gates.Data Pipelines and Scheduled Jobs: Create reliable ETL jobs pulling, cleaning, and reconciling data across systems via REST APIs and SQL.User Adoption and Maintenance: Test prototypes directly with non-technical users, gather feedback, iterate rapidly, and maintain production tools as underlying systems evolve.Must-HavesCandidates must meet the following minimum criteria:Experience: 3+ years building data applications, process automations, or internal business tooling.Python: Strong scripting, data wrangling (pandas, requests), and automated testing skills.R and Shiny: Demonstrated ..... full job details .....