AI Automation Engineer, On the Beach

• Skills in Python, with experience building production-grade solutions
• Experience designing and building automation systems or workflows beyond simple scripting
• Hands-on experience with APIs, system integration, and working across distributed systems
• Exposure to AI/LLM-based tooling or frameworks such as LangChain, AutoGen, CrewAI, or similar
• Awareness of security considerations and creating guiderails when building automated or AI-driven systems
• Experience building or working with agent-based systems or orchestration frameworks
• Clear and effective communicator, comfortable working across technical and non-technical teams
• Self-motivated and able to take ownership of problems from discovery through to delivery (and beyond!)
• Enjoys collaborating and sharing knowledge, with a mindset of helping others succeed

Desirable

• We’re looking for an AI Automation Engineer to help us design and build the next generation of intelligent, automated systems. From AI-powered workflows to agent-driven solutions that improve how we work at scale
• As well as improving existing processes you'll be focusing on Building Automation systems using AI-led software engineering processes
• You’ll work across the business to help identify opportunities where automation and AI can make a meaningful impact, then design and build scalable solutions to solve them. This could include everything from integrating APIs and building services, to developing AI-powered workflows using modern LLM and agent frameworks
• This is not a traditional RPA role. You’ll be working at the intersection of automation, AI and our software engineering teams, helping us design intelligent systems that reduce manual effort, improve decision-making and unlock capacity across the organisation
• You’ll partner closely with engineering, product, and business teams to identify high-impact opportunities and turn them into robust, scalable solutions
• Design and build scalable, intelligent automation solutions using Python and modern tooling, spanning low-code, no-code, and code-first approaches, and integrating APIs, services, data sources, and emerging AI and agent-based workflows across the business
• Collaborate with stakeholders to deeply understand problems and design solutions that are practical, measurable, and user friendly
• Productionise solutions with a focus on reliability, observability, and security, including error handling and monitoring
• Use data and qualitative feedback to measure success, run experiments, and continuously improve performance
• Contribute to building best practices, standards, and reusable components across automation and AI
• Coach and support others in adopting automation tools and ways of working

• We’ll run a multi-stage interview process, one stage of which will be an in-person interview at our fabulous Aeroworks office in Manchester city centre
• We want to make sure everybody has the opportunity to perform at their best. If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist