AI Engineer

Xelix

. Design and build production AI systems, including agent-based workflows, tool use, and multi-step reasoning .

Posted 9/29/2026full-timeLondon • United KingdomJuniorMid-Level💰 £65,000 - £75,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building production AI systems, with a strong focus on model development, evaluation, and performance optimization. Proficient in Python programming and experienced in collaborating with cross-functional teams to deliver impactful AI solutions.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProgrammingModel Evaluation and Performance OptimizationSQL and PandasCross-Functional Collaboration

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI SystemsModel Fine-TuningHybrid ML ApproachesAgent-Based WorkflowsText and Vision ModelsPerformance MeasurementData CleaningSoftware DesignProduction Environments

Soft Skills

Proactive CuriosityOwnershipCollaboration

Tools & Technologies

AI-Assisted Coding ToolsPythonSQLPandas

Industry Keywords

Production AI SystemsMulti-Step ReasoningReal-World DataCost DecisionsObservable Systems

Tech Stack

Tools & technologies

PandasPythonSQL

About the role

Key responsibilities & impact

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
Fine-tune models and apply hybrid ML and LLM approaches
Work with hosted and self-hosted models
Contribute to model selection, performance, and cost decisions
Write clean, maintainable Python
Contribute to scalable and observable systems
Design evaluations, measure performance rigorously, and improve systems using real-world feedback
Use modern AI coding tools while maintaining high standards
Collaborate with product and engineering teams to deliver high-impact features

Requirements

What you’ll need

2–5 years building and shipping ML or AI-powered systems into production
Clean, testable Python and solid software design
Experience working in production environments
Experience with traditional ML and/or LLM systems, including prompting, tool use, evaluations, or agents
Ability to reason about accuracy, latency, cost, and reliability trade-offs
SQL and pandas
Experience working with messy real-world data
Comfortable using AI-assisted coding tools effectively
Proactive curiosity and ownership
Strong cross-functional collaboration skills
Must work standard hours from 9:00 AM to 6:00 PM, Monday through Friday
Availability for a final on-site interview at the London office

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