ABOUT US

At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows.
Xelix is a fast-paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively, whilst remaining profitable. We have over 100 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun & we love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.

ABOUT THE ROLE

We are now hiring for a Mid-Level AI Engineer to join our growing AI Engineering team. This role is an exciting opportunity to leverage state-of-the-art technology, including the latest LLMs and AI technologies, to power our tools and develop impactful new solutions for our customers.

What you’ll be doing

• Model Development: design, train, and evaluate end-to-end ML models - from preprocessing to deployment - working with text, vision, and tabular data.
• LLM & AI Systems: build and refine applications leveraging large language models, prompt engineering, and agentic frameworks to solve real-world business problems.
• Production Code: write clean, maintainable Python for AI/ML applications and collaborate with our back-end team to integrate seamlessly into the platform.
• Experimentation & Research: stay current with the latest AI/ML techniques, test new algorithms and tools, and improve upon existing approaches.
• Collaboration: work closely with product, data, and engineering teams to deliver high-impact, customer-facing features.

While the exact process may vary slightly depending on the role, our typical interview stages are:

• Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
• Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team.
• Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach.
• Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office