ai engineer for an AI platform

Enfint; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Employee discount

Employee sample sales

25 Days paid annual leave plus an extr

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Personalised learning opportunities

Job summary

ASOS ищет опытного инженера ИИ для разработки и поддержки AI-платформы на Azure с акцентом на агентные паттерны, маршрутизацию и интеграцию инструментов. Ваша работа будет включать создание стандартов и шаблонов для рабочих процессов LLM и GenAI, обеспечение безопасного доступа и управление памятью модели.

Вы будете сотрудничать с командами инфраструктуры и безопасности. Кандидат должен иметь существенный опыт разработки продуктивных систем ИИ, владение Python и опытом работы с CI/CD,

Qualifications

• Значительный опыт работы инженером ИИ или платформой ИИ, создание продуктивных систем.
• Практический опыт с LLMs, GenAI и агентными системами в реальных условиях.
• Понимание цикла ИИ от экспериментов до развёртывания и эксплуатации.
• Опыт эксплуатации LLM runtime: доступ к моделям, маршрутизация, кэширование, затраты.
• Свободное владение Python и создание API и сервис-ориентированных систем.
• Опыт CI/CD, тестирования и развёртываний для ИИ/платформенных компонентов.
• Опыт инструментов наблюдаемости: логирование, метрики, трассировка, алерты.
• Опыт работы в облачных средах и взаимодействие с командами безопасности.

Responsibilities

• Разработка возможностей AI-платформы на Azure, работу с агентскими паттернами.
• Участие в инициативе Agentic AI Platform, определение сборки и эксплуатации агентов.
• Проектирование и поддержка стандартных шаблонов для рабочих процессов LLM и Generative AI.
• Обеспечение безопасных и управляемых паттернов доступа к LLMs и инструментам.
• Участие в LLMOps и паттернах рантайма моделей, маршрутизации и оптимизации затрат.
• Обеспечение наблюдаемости через логи, метрики и трассировку.
• Сотрудничество с Cloud Infrastructure и Security для безопасных Azure-сред.

Skills

Python

LLMs

API design

CI/CD

Cloud platforms

Collaboration

Tools

Azure

Azure API Management

Entra ID

RBAC

Job description

Описание: ASOS.com is an online fashion retailer serving customers around the world. Its platform is used by millions of people.

Задачи

• Design and build AI platform capabilities on Azure, focusing on agentic AI patterns such as agent runtimes, orchestration and tool integration
• Contribute to the Agentic AI Platform initiative and define how agents are built, integrated and operated across the organisation
• Design and maintain standardised templates and reference implementations for LLM and Generative AI workflows
• Implement secure and governed access patterns for LLMs and enterprise tools using APIM, platform gateways, Entra ID, RBAC and managed identities
• Contribute to LLMOps and model runtime patterns, including model access, routing, caching, token optimisation and cost-aware usage controls
• Support lifecycle and evaluation practices for agent configurations, prompts and AI workflows
• Design secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration
• Contribute to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback loops
• Contribute to reliability patterns for production AI systems, including latency monitoring, alerting, scaling considerations and operational readiness
• Apply CI/CD and software engineering best practices to AI platform and agentic components
• Embed observability through logs, metrics and traces
• Partner with Cloud Infrastructure and Security teams to design secure, scalable and cost-effective Azure environments

Требования

• Significant experience as an AI Engineer, AI Platform Engineer or similar, delivering production-grade AI systems
• Hands-on experience with LLMs, Generative AI and agent-based systems in real-world environments
• Strong understanding of the end-to-end AI lifecycle, from experimentation through deployment and operation
• Practical understanding of production LLM or GenAI runtime concerns, including model access, routing, caching, token usage, cost optimisation and reliability
• High proficiency in Python and experience building APIs and service-oriented systems
• Experience with CI/CD pipelines, automated testing and versioned deployments for AI or platform components
• Practical experience with observability tooling, including logging, metrics, tracing and alerting
• Experience using telemetry to improve reliability and performance
• Comfortable working in cloud environments
• Strong collaboration skills and the ability to influence platform standards and enable other engineering teams
• Pragmatic, engineering-led approach to responsible and ethical AI, focused on safety, reliability and trust
• Nice to have: Azure AI Foundry, Azure API Management, AgentOps, MLOps, GenAIOps, monitoring, evaluation and feedback loops

Условия

• Employee discount
• Employee sample sales
• 25 Days paid annual leave plus an extra celebration day
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance, available as extra cash or for other benefits
• Personalised learning and in-the-moment development opportunities