Senior AI Engineer

Xelix

. Design and lead end-to-end AI systems from problem framing through production deployment and iteration .

Posted 9/29/2026full-timeLondon • United KingdomSenior💰 £80,000 - £90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying scalable AI systems, with a strong focus on LLM and traditional ML methodologies. Proven ability to mentor engineers and drive improvements in AI practices while ensuring high standards for code quality and system evaluations.

Highest-signal resume keywords

End-To-End AI System DesignLLM Systems ExpertiseModel Selection and Fine-TuningMentorship and Technical DirectionAI Tooling Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceModel EvaluationArchitectural Decision-MakingCode Quality StandardsSystem ScalabilityPerformance OptimizationTool Ecosystem DesignAgent-Based WorkflowsContinuous Improvement

Soft Skills

MentoringCollaborationDecision-Making

Tools & Technologies

AI-Assisted Development Tools

Industry Keywords

Production EnvironmentsFeedback LoopsMulti-Step Reasoning SystemsObservable SystemsComplexity Balancing

About the role

Key responsibilities & impact

Design and lead end-to-end AI systems from problem framing through production deployment and iteration
Architect complex agent-based workflows, tool ecosystems, and multi-step reasoning systems
Make decisions on model selection, fine-tuning, and use of ML, LLM, or hybrid approaches
Define evaluation frameworks, metrics, and feedback loops for reliability and continuous improvement
Ensure AI systems are scalable, observable, and robust in real-world environments
Mentor engineers, review designs, and improve engineering and AI practices across the team
Drive effective use of AI tooling within the team
Work closely with product and leadership to shape product direction

Requirements

What you’ll need

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, including agents, tool use, and evaluations, and/or traditional ML
Ability to balance complexity, performance, and cost when selecting approaches
Experience designing and using evaluations 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

Benefits

Comp & perks

27 days of annual leave (including 3 days Christmas closing), increasing up to 3 days based on tenure
Option to roll over, buy or sell up to 3 days of annual leave
Hybrid working with two days a week from the dog-friendly Hoxton office
On-site gym
Cycle to work scheme
Employee discount at over 100 retailers
Comprehensive private medical and dental cover with Vitality
Enhanced parental leave pay
£1,000 personal annual learning and development budget
Team socials and activities
Annual team retreat
Carbon-neutral company and carbon reduction initiatives