AI engineer for agent-based systems

The AA; Greater London; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Cash car allowance

Private medical insurance

25 days' annual leave

Employer pension contribution

AA breakdown membership

GP access & wellbeing support

Employee discounts

Job summary

The AA ищет инженера AI, который действительно строит системы ИИ и ML, а не просто работает рядом с ними. Это практическая роль, где вы будете конструировать, писать, тестировать, развёртывать и совершенствовать производственные решения ИИ, неся техническую ответственность от формулировки проблемы до эксплуатации и дальнейшей оптимизации.

Вы будете проектировать и внедрять масштабируемые AI/ML приложения и пайплайны на Python, обеспечивая полный цикл, мониторинг и улучшение в продакшне.

Qualifications

• Практический hands-on опыт разработки и внедрения AI/ML систем на продакшн
• Доказательства самостоятельной разработки, развёртывания и эксплуатации AI/ML систем
• Опыт полного цикла AI/ML: подготовка данных, разработка, оценка, развёртывание, мониторинг и улучшение

Responsibilities

• Дизайн, сборка, тестирование, развёртывание и эксплуатация масштабируемых AI/ML приложений и пайплайнов на Python
• Взятие технических результатов от определения проблемы до продакшна, мониторинг и улучшение
• Принятие прагматичных инженерных решений по производительности, задержке, стоимости, сложности и надёжности
• Создание надёжной продакшн- инфраструктуры: CI/CD, контейнеризация, облачные решения, мониторинг и логирование
• Разработка повторно используемых компонентов и паттернов, код-ревью и обмен знаниями
• Внедрение принципов ответственного ИИ: справедливость, прозрачность, приватность, безопасность и надзор

Skills

AI/ML инженеринг

Python

production deployment

CI/CD

Observability

Cross-functional ownership

Tools

CI/CD tooling

Containerisation

Cloud native deployment

Observability tooling

Job description

Описание

We’re looking for an AI Engineer who has genuinely built AI and machine learning systems, not simply worked alongside them. This is a highly hands on engineering role where you’ll design, write, test, deploy and improve production AI solutions, taking technical ownership from the initial problem through to live operation and ongoing optimisation.

Задачи

• Design, build, test, deploy and operate scalable AI and ML applications, services and data pipelines using clean, maintainable Python
• Own technical outcomes from problem definition and evaluation through to production deployment, monitoring and continuous improvement
• Make pragmatic engineering decisions across model performance, latency, cost, complexity, reliability and maintainability
• Build robust production capability using CI/CD, containerisation, cloud native practices, monitoring, logging, evaluation and deployment automation
• Develop reusable components and engineering patterns, contributing through code reviews, technical guidance, documentation and knowledge sharing
• Embed responsible AI principles throughout development, including fairness, transparency, privacy, security, evaluation and appropriate human oversight

Требования

• Strong, recent hands-on AI or ML engineering experience, with the technical depth to personally design, build and write production quality solutions using Python
• Clear evidence of personally building, deploying and operating AI or ML systems in production, beyond proofs of concept, experimentation or prototype work, with the ability to explain your individual technical contribution
• Practical experience across the end-to-end AI and ML lifecycle, including data preparation, development, evaluation, deployment, monitoring and ongoing improvement
• Experience building production AI applications and services, including generative AI or agent-based systems, alongside backend services, APIs or data pipelines
• Strong production engineering capability, including practical experience with CI/CD, containerisation, cloud native deployment and observability, together with the technical judgement to make and explain trade-offs across performance, cost, complexity and reliability
• Experience taking meaningful technical ownership within cross functional teams, including applying responsible AI principles such as fairness, transparency, privacy, security and human oversight, while communicating technical decisions clearly to different audiences

Условия

• Annual bonus, cash car allowance and private medical insurance
• 25 days' annual leave plus bank holidays, the option to buy additional holiday
• Up to 7% employer pension contribution
• Free AA breakdown membership from Day One with 50% discount for family and friends, discounts on AA products including car and home insurance
• 24/7 GP access and wellbeing support for you and your family
• A wide range of employee discounts, including our popular car salary sacrifice scheme