AI Engineer
- London, United Kingdom
نُشرت قبل 7 أيام
عن الوظيفة
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. We have a team 150 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, and 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 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.
What You'll Be Doing
- 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.
- Experience: 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.
💰 Competitive salary of £65,000 to £75,000 depending on experience
🏝️ 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
🎯 Lots of team socials & activities
☀️ Annual team retreat
Want to learn more?
- About us
- Xelix blog
- Xelix news
- Xelix glassdoor
If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process
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.
We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.