We are a marketing company that is investing in AI as a core part of how we work and what we deliver. In addition to traditional marketing services, we build AI agents and automation systems that support our clients’ marketing operations and our own internal processes — research, content production, reporting, lead qualification, campaign analysis, and similar workflows.
We are looking for a final-year FER student to work with us on these systems. The work is engineering-first, applied to a marketing context. The goal is to take LLMs, APIs, and well-defined marketing and business problems and build systems that are reliable, measurable, and genuinely useful in day-to-day operations — not one-off demos.
You will be involved end-to-end: from understanding the marketing problem, to designing and implementing the technical solution, to evaluating it and iterating on it once it is in production.
You will work closely with senior colleagues from digital, strategy and business teams, with guidance on business context and priorities. As this is a new and developing area for us, we are looking for someone who is proactive, self-driven and comfortable learning, testing and building solutions together with the team.
This is a great opportunity for someone who wants to help build a new AI function from the ground up, joining at a stage where things are still being shaped.