Senior Artificial Intelligence Engineer

Who you are

• Experience: 5+ years building and deploying ML or AI systems, with significant experience in production environments
• Strong System Design Skills: ability to design end-to-end AI systems and make sound architectural decisions
• Deep AI Expertise: strong experience with LLM systems (agents, tool use, evals) and/or traditional ML where appropriate
• Pragmatism: ability to choose the right approach for the problem, balancing complexity, performance, and cost
• Evaluation Mindset: experience designing and using evals to drive system improvements
• Engineering Excellence: high standards for code quality, testing, and maintainability
• Leadership & Mentorship: experience guiding other engineers and influencing technical direction
• AI-Native Workflow: strong ability to leverage AI-assisted development tools effectively and thoughtfully

What the job involves

• 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
• System Design & Ownership: design and lead end-to-end AI systems, from problem framing through to production deployment and iteration
• Advanced AI Systems & Agents: architect complex agent-based workflows, tool ecosystems, and multi-step reasoning systems
• Model Strategy: make decisions on model selection, fine-tuning, and when to use ML vs LLM vs hybrid approaches
• Evaluation & Quality: define evaluation frameworks, metrics, and feedback loops to ensure reliability and continuous improvement
• Production Excellence: ensure systems are scalable, observable, and robust in real-world environments
• Technical Leadership: mentor other engineers, review designs, and raise the bar for engineering and AI practices across the team
• AI-Assisted Engineering: drive effective use of AI tooling within the team, improving productivity without compromising quality
• Cross-Functional Impact: work closely with product and leadership to shape what we build and why
• This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday

The application 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

Benefits

• 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
• Hybrid working from our dog-friendly Hoxton office
• Comprehensive private medical & dental cover with Vitality
• Enhanced parental leave
• Learning & development culture – £500 personal annual budget
• We’re carbon-neutral and are working towards ambitious carbon reduction goals
• Lots of team socials & activities
• Annual team retreat
• On-site Gym