Junior AI Engineer

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 hiring a Junior AI Engineer to join our AI Engineering team. You’ll work on building real AI-powered features — combining machine learning and large language models — and learn how to take systems from initial idea through to production.

We are a team focused on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, treating them as amplifiers that help us focus on understanding problems, designing solutions, and producing high-quality code.

What you'll be doing

• AI & ML Development: support the development of models and AI-powered features across text, document, and structured data use cases.
• LLM Applications: help build and improve LLM-powered workflows, including prompt design, structured outputs, and simple tool use.
• Data & Evaluation: work with real-world datasets, contribute to evaluation pipelines, and help measure system performance.
• Production Code: write clean, maintainable Python and contribute to code that runs in production systems.
• AI-Assisted Development: use tools like Cursor and Claude Code to accelerate development, while learning good engineering practices.
• Collaboration & Learning: work closely with experienced engineers, product managers, and data teams, learning how to ship impactful features.

What you’ll bring

• Foundations in Python: ability to write clear, structured code and a willingness to learn best practices.
• Interest in AI/ML: academic, personal, or early professional experience with machine learning or LLMs.
• Data Skills: familiarity with pandas, basic SQL, and working with datasets.
• Curiosity: strong interest in how modern AI systems work and a desire to experiment and learn quickly.
• Practical Mindset: motivated to build things that work in real-world settings, not just in theory.
• Collaboration: good communication skills and openness to feedback.

What we offer in return

💰 Competitive salary of £50,000 to £60,000 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

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 ProcessWhile 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 strive to make the process clear, efficient, and respectful of your time.