Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this AI Engineer role.
Rezi rewrites your resume against Xelix's job description. Free.
Tailor your resume to this AI Engineer role.
Rezi rewrites your resume against Xelix's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Engineer posting at Xelix — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the AI Engineer posting at Xelix — free, in seconds.
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.
Responsibilities
- Design and build production AI systems — including agent-based workflows, tool use, and multi-step reasoning.
- Develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches.
- Work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost.
- Write clean, maintainable Python and contribute to scalable, observable systems.
- Design evals, measure performance rigorously, and improve systems using real-world feedback.
- Use modern AI coding tools to move faster while maintaining high standards.
- 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.
- Clean, testable Python; solid software design; experience working in production environments.
- Experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents).
- Ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly.
- SQL, pandas, and experience working with messy real-world data.
- Comfortable using AI-assisted coding tools effectively.
- Proactive in exploring new approaches and improving existing systems.
- Strong cross-functional working style.
Skills
- Machine learning
- Large language models
- Python
- System design
- Product thinking
- Text
- Vision
- Structured data
- Fine-tuning
- Hybrid ML + LLM approaches
- Hosted and self-hosted models
- Scalable systems
- Observable systems
- Evaluation
- Iteration
- AI-assisted coding tools
- SQL
- Pandas
- Real-world data
Location
- Hoxton
Work Type
- Hybrid
- Full-time
Experience Level
- 2-5 years
Salary/Compensations
- £65,000 to £75,000
Benefits
- 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
- 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
- Carbon-neutral company working towards ambitious carbon reduction goals
- Team socials & activities
- Annual team retreat
About the Company
- 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.
Equal Opportunity
- 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!