Roboyo AI is a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services.

Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate.

We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation programs.

ABOUT THE ROLE

We are looking for a Senior Automation Engineer to design, develop and deliver enterprise-scale automation solutions using UiPath, Automation Anywhere and Python. This is a genuinely hands-on, multi-platform role: you will actively build solutions in all three technologies, not simply oversee delivery.

You will own technical delivery from design and development through testing, deployment and optimisation, working with clients and distributed delivery teams. This is a UK-based remote position with occasional travel for client engagements, project workshops and team activities.

As an L3 engineer, you will tackle complex technical problems independently, contribute to code quality and engineering standards, and support less experienced colleagues without being expected to act as a dedicated people manager.

KEY RESPONSIBILITIES

Design, develop, test and deploy robust automation solutions using UiPath, Automation Anywhere A360 and Python.

Own technical delivery across the automation lifecycle, including solution design, documentation, release and post-deployment optimisation.

Build integrations with REST APIs, databases and enterprise applications; create maintainable Python applications and components beyond basic scripting.

Develop reusable components and frameworks, applying secure coding, exception handling, logging and operational monitoring practices.

Diagnose and resolve complex automation failures, integration issues and performance bottlenecks in development and production.

Apply engineering standards across Git, peer review, automated testing and CI/CD; contribute to reliable deployments.