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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. In this role you’ll grow, be challenged and help shape the future of Xelix. We are hiring an AI Engineer to join our growing AI Engineering team. You’ll design and build production AI systems — combining machine learning, large language models, and strong engineering — to solve real problems across documents, email, and financial data. We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level — focusing on system design, product thinking, and solving complex problems.
Job Responsibility:
AI Systems & Agents: design and build production AI systems — including agent-based workflows, tool use, and multi-step reasoning
Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches
LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost
Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems
Evaluation & Iteration: design evals, measure performance rigorously, and improve systems using real-world feedback
AI-Assisted Development: use modern AI coding tools to move faster while maintaining high standards
Collaboration: work closely with product and engineering teams to deliver high-impact features
Requirements:
2–5 years building and shipping ML or AI-powered systems into production
Strong Engineering Skills: clean, testable Python
solid software design
experience working in production environments
AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents)
Systems Thinking: ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly
Data Skills: SQL, pandas, and experience working with messy real-world data
AI-Native Workflow: comfortable using AI-assisted coding tools effectively
Curiosity & Ownership: proactive in exploring new approaches and improving existing systems
Collaboration: strong cross-functional working style
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