AI Automation Engineer (Python, R, Shiny)

This is a hands-on engineering role for somebody who enjoys taking ideas from concept to production. You’ll build AI-powered applications, automate complex business processes, develop data-driven solutions and create tools that allow users to make faster, better-informed decisions.

Working closely with business stakeholders and technical teams, you’ll turn everyday operational challenges into scalable solutions using modern technologies including Python, R/Shiny, SQL and Generative AI.

What you’ll be doing

• Developing AI-powered applications and internal business tools
• Building and deploying R Shiny applications used by business teams
• Creating automation workflows that remove manual effort and improve efficiency
• Designing and integrating solutions using REST APIs
• Building data pipelines that collect, transform and present business-critical information
• Working with Large Language Models (LLMs) and Generative AI technologies to create practical business solutions
• Developing AI assistants, intelligent workflows and automated decision-support tools
• Collaborating with stakeholders to gather requirements and rapidly deliver working solutions
• Maintaining, enhancing and scaling applications in production

• Proven in developing data applications, automations or internal business tools
• Strong Python development experience including automation, scripting and data processing
• Commercial experience with Pandas and related Python libraries
• Strong R programming skills
• Experience building and deploying Shiny applications
• SQL development experience
• Experience integrating systems through REST APIs
• Practical experience working with Generative AI technologies
• Experience using LLM APIs and/or AI development tools
• Knowledge of prompt engineering and structured AI outputs
• Experience engaging directly with business stakeholders and translating requirements into solutions

Desirable Experience

• Snowflake or other modern cloud data platforms
• AI Agent development
• LangChain, LangGraph or similar frameworks
• AWS and cloud-based deployments
• Docker and containerised applications
• Business Intelligence and reporting tools
• Regulated industry experience such as Healthcare, Life Sciences or Financial Services

If you’re passionate about building practical AI solutions that solve real business problems, we’d love to speak with you.