Applied AI Demo Engineer
Build and maintain reliable demos, agents, reference implementations, and reusable tools that help customer-facing teams showcase Claude capabilities and turn field insights into product and launch-readiness improvements.
About LoopMe
LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable β and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2β5x better performance than industry benchmarks, at scale.
We operate a high-load programmatic infrastructure β processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant.
The opportunity
You join LoopMe's global Marketplace team in London, sitting at the intersection of technical delivery and commercial performance. You own publisher integrations end to end from onboarding through to live deployment while ensuring our Business Development and Account Management leads have the tooling, insights, and technical support they need to operate at their best. This role reports to the Support Manager, Americas.
What you'll do
What you'll bring
Essential
Nice to have
To apply
LoopMe does not accept speculative agency submissions. To apply, please use the button below.
Build and maintain reliable demos, agents, reference implementations, and reusable tools that help customer-facing teams showcase Claude capabilities and turn field insights into product and launch-readiness improvements.
Configure and deliver client-facing solutions by translating business requirements into working implementations, building conversational flows and proof of concepts, integrating systems, and validating and optimizing configurations.
A customer-facing Solutions Engineer who partners with Sales and Customer Success to design data collaboration solutions, lead technical evaluations and support implementations that help customers realize lasting platform value.
Evaluates water-system feasibility, hydraulics, and permitting for wildfire sprinkler projects, guiding designs from sales through installation and resolving technical challenges with clients, authorities, and internal teams.
Own client AI-agent engagements from workflow scoping through production deployment and handover, building secure integrations and measuring adoption and outcomes against agreed baselines.