AI Solution Engineer

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.   We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?    

The Opportunity 

Customer Enablement runs on data and on tooling. Our support, retention and operations teams need reporting, dashboards and automation to do their jobs – and because modern AI tooling makes building things fast, a good deal of it has been built locally, by the people who needed it, in an afternoon. 

Much of it is genuinely useful. The problem is that it is not built to last: data is loaded by hand, nothing is scheduled, failures are silent, there is no documentation, and when the person who built it is on leave, it stops working. Your job is to take that work on and make it real engineering – automated, monitored, documented, properly hosted, and owned by the function rather than by an individual. Then to build what comes next that way from the start. 

This is a hands-on software engineering role, and it is a broad one. You will work across the systems CE depends on – CRM, collaboration tools, data warehousing and reporting – building the integrations that remove manual steps, and using modern AI tooling such as Claude and Microsoft Copilot as part of how you build. You will own what you deliver end to end, from requirement through to running it in production, and you will work directly with the people who use it. 

To be clear about the kind of AI work this is: this is applied engineering, not machine learning research or model development. You will be building software that uses AI tooling and LLM APIs to solve practical problems for our support, retention and operations teams – integrations, automation, agents and internal applications – rather than training or tuning models. 

We are looking for solid software engineering fundamentals first. Experience with LLM APIs, AI-assisted development or the Salesforce platform is welcome and will help you move faster, and this role gives you the scope to build on it. 

KEY RESPONSIBILITIES

Making Existing Tooling Production-Ready 

• Take ownership of locally-built reports, dashboards and automations, working with the people who built them to understand what the tool needs to do and what matters about it.