Senior AI Automation Engineer, On the Beach

• Demonstrable experience of using AI Augmented software engineering tools such Claude Code, Codex or similar. Experience with frameworks such as ADK, LangChain is beneficial too
• Strong scripting experience, ideally Python, with a track record of building and maintaining production grade services, integrations or automation solutions Experience designing complex automation systems beyond scripting, including workflows that integrate multiple services, APIs, data sources and business processes
• You’re used to interpreting data and building data-led tools to help non-technical stakeholders visualise and understand business problems
• Experience taking technical ownership of projects, from problem discovery and solution design through to deployment, monitoring and iteration
• Experience applying sound software engineering practices, including version control, code review, testing, CI/CD, documentation and observability
• The ability to balance short term delivery with long term maintainability, making pragmatic decisions in a fast moving environment
• Experience supporting, mentoring or coaching other engineers, or a clear interest in helping others develop

Desirable

• We’re looking for a Senior AI Automation Engineer to help design, build and mature the next generation of intelligent, automated systems across the business
• From AI powered workflows and agent driven solutions to services, integrations and automation platforms, you’ll help us create scalable solutions that reduce manual effort, improve decision making and unlock capacity across the organisation
• This is not a traditional RPA role. We don’t just want to automate, we want to simplify our processes first
• You’ll work at the intersection of automation, AI and software engineering, helping shape how we identify, design and deliver high impact automation opportunities across On the Beach
• You’ll be trusted to take ownership of complex problems from discovery through to production, working closely with stakeholders to understand the real business need and creating solutions that are practical, secure, measurable and built to last
• You’ll work alongside our existing team of AI and Automation engineers, helping us build both early prototypes, and robust platform capabilities. Over time, you’ll become a key point of technical ownership for our AI automation approach, helping establish standards, reusable patterns and ways of working for the wider business
• You’ll have the opportunity to shape a growing capability with genuine influence over its technical direction, engineering standards and long term impact
• You’ll work on a mix of modern AI and automation initiatives, alongside existing processes that need improving or modernising. There will be space to experiment, but also a clear focus on delivering solutions that make a measurable difference to colleagues and customers
• You’ll be part of a collaborative team that values curiosity, ownership, thoughtful engineering and knowledge sharing
• Leading the design and delivery of complex automation and AI solutions across the business, using AI augmented engineering tools such as Claude Code
• Taking ownership of technical discovery, solution design and implementation, turning ambiguous business problems into scalable and maintainable automation products
• Working closely with our engineers, product teams and business stakeholders to develop, productionise and improve AI enabled workflows and agent based solutions
• Designing and integrating APIs, services, and other data sources to create reliable end to end automation solutions
• Establishing strong engineering practices around testing, security, observability, documentation, error handling and incident response
• Assessing where AI is the right solution and where simpler automation, process improvement or system integration would create better value
• Building reusable components, standards and patterns that make future automation work faster, safer and easier to maintain
• Monitoring the performance, reliability, cost and business impact of solutions in production, using data and feedback to prioritise improvements
• Supporting and mentoring engineers or colleagues who are developing their automation and AI engineering capability
• We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work

• We’ll run a multiple stage interview process, one stage of which will be an in-person interview at our fabulous Aeroworks office in Manchester city centre