At a Glance
- Tasks: Design and develop cutting-edge AI models to transform financial processes.
- Company: Join a fast-paced scale-up redefining finance with innovative AI solutions.
- Benefits: Enjoy a competitive salary, hybrid work, and generous annual leave.
- Other info: Collaborative culture with exciting team activities and a focus on personal development.
- Why this job: Make a real impact in AI while growing your skills in a dynamic environment.
- Qualifications: 2-5 years of experience in ML/LLM, strong Python skills, and a passion for AI.
The predicted salary is between 65000 - 75000 £ per year.
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.
What you’ll bring
- 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.
What we offer in return
💰 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’ve 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
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
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
- 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 strive to make the process clear, efficient, and respectful of your time.
AI Engineer employer: Xelix
Xelix is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to excel in the fast-paced world of enterprise SaaS sales. With a competitive salary and hybrid working options, employees benefit from a supportive environment that encourages professional growth and development. Located in Greater London, Xelix offers unique opportunities to engage with industry leaders while building meaningful relationships and closing impactful deals.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and ML models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Xelix.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with ML models, Python skills, and any relevant projects. We want to see how your background aligns with what we're doing at Xelix!
Show Off Your Passion:Don’t just list your skills; show us your passion for AI/ML! Include links to your GitHub, personal projects, or any contributions to the community. We love seeing candidates who are genuinely excited about the field.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re interested in Xelix and how you can contribute to our mission. Keep it engaging and let your personality come through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Xelix
✨Know Your AI Stuff
Make sure you brush up on the latest AI and ML technologies, especially large language models. Be ready to discuss your hands-on experience with gradient-boosted models and how you've applied them in real-world scenarios.
✨Show Off Your Code
Prepare to showcase your Python skills! Bring examples of clean, maintainable code you've written for AI/ML applications. If you have a GitHub portfolio, make sure it’s up-to-date and highlights your best work.
✨Collaboration is Key
Xelix values teamwork, so be prepared to talk about how you've collaborated with product managers, engineers, and data teams in the past. Share specific examples of projects where your collaboration made a difference.
✨Ask Smart Questions
At the end of your interview, don’t forget to ask insightful questions about Xelix's AI initiatives and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
