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About the Role
We are hiring a Senior AI Engineer to help shape our AI systems and technical direction. You'll lead the design and delivery of complex, production-grade AI solutions — combining machine learning, LLMs, and robust engineering practices to build high-impact products. We are a team of builders, focused on systems that work reliably in production, not just prototypes. We use modern AI tools extensively, enabling engineers to operate at a higher level — focusing on architecture, system design, and delivering meaningful product impact.
Responsibilities
- Design and lead end-to-end AI systems, from problem framing through to production deployment and iteration.
- Architect complex agent-based workflows, tool ecosystems, and multi-step reasoning systems.
- Make decisions on model selection, fine-tuning, and when to use ML vs LLM vs hybrid approaches.
- Define evaluation frameworks, metrics, and feedback loops to ensure reliability and continuous improvement.
- Ensure systems are scalable, observable, and robust in real-world environments.
- Mentor other engineers, review designs, and raise the bar for engineering and AI practices across the team.
- Drive effective use of AI tooling within the team, improving productivity without compromising quality.
- Work closely with product and leadership to shape what we build and why.
Requirements
- 5+ years building and deploying ML or AI systems, with significant experience in production environments.
- Ability to design end-to-end AI systems and make sound architectural decisions.
- Strong experience with LLM systems (agents, tool use, evals) and/or traditional ML where appropriate.
- Ability to choose the right approach for the problem, balancing complexity, performance, and cost.
- Experience designing and using evals to drive system improvements.
- High standards for code quality, testing, and maintainability.
- Experience guiding other engineers and influencing technical direction.
- Strong ability to leverage AI-assisted development tools effectively and thoughtfully.
Skills
- Machine Learning
- LLMs
- AI Systems
- System Design
- Agent-based workflows
- Tool ecosystems
- Multi-step reasoning
- Model selection
- Fine-tuning
- ML vs LLM vs hybrid approaches
- Evaluation frameworks
- Metrics
- Feedback loops
- Scalability
- Observability
- Robustness
- Technical Leadership
- AI-Assisted Engineering
- AI tooling
Location
- Hoxton, London (Hybrid)
Work Type
- Full-time
- Hybrid
Experience Level
- Senior
Salary/Compensations
- £80,000 to £90,000
Benefits
- 27 days of annual leave (increasing with tenure, with rollover, buy or sell options)
- Hybrid working
- Dog-friendly office
- On-site gym
- Cycle to work scheme
- Employee discount at over 100 retailers
- Comprehensive private medical & dental cover
- Enhanced parental leave pay
- £1,000 personal annual learning & development budget
- Team socials & activities
- Annual team retreat
About the Company
- Xelix works with large companies to automate and strengthen financial controls using AI solutions.
- Our AI solutions redefine Accounts Payable team operations, moving from manual processes to automated, intelligent workflows.
- Xelix is a fast-paced scale-up that raised Series B funding in June 2025 and is expanding aggressively.
- We have a team of 150 talented people focused on achieving goals, with an emphasis on ownership, speed, and impact.
- We prioritize personal and professional growth, maintain a fun environment, and celebrate milestones.
- We are carbon-neutral and working towards ambitious carbon reduction goals.
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!
- 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!