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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. 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.
Job Responsibility:
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
Requirements:
2-5 years’ experience delivering ML or LLM-powered features to production, from data prep and model training to deployment and iteration
Strong Python skills for AI/ML applications - clean, well-tested code, version control best practice, and smooth integration with back-end systems
Hands-on experience with gradient-boosted models (e.g., XGBoost, LightGBM) and/or building LLM-powered systems (e.g. tool/function calling, prompt design, evals) for text-heavy tasks
Solid data skills: SQL, pandas, experiment tracking, and cloud deployment (AWS a plus)
A passion for AI/ML, shown through personal projects, a well-maintained GitHub portfolio, blog posts, or contributions to the AI/ML community
Strong collaboration skills - able to work closely with engineers, product managers, and data teams to ship impactful features
What we offer:
27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days
Hybrid working with two days a week from our dog-friendly Hoxton office
On-site gym and cycle to work scheme
Employee discount at over 100 retailers
Comprehensive private medical & dental cover with Vitality
Enhanced parental leave pay
Learning & development culture – £1,000 personal annual budget
We’re carbon-neutral and are working towards ambitious carbon reduction goals