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
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ai engineer for an AI platform in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
