2 дня назад
Senior AI Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Azure): Building and scaling shared foundations for AI capabilities across the organization with an accent on Agentic AI patterns and platform layers. Focus on designing standardized templates for LLM workflows, implementing secure access patterns, and developing LLMOps/AgentOps capabilities.
Location: Our HQ in London
Company
is a global online retailer for fashion lovers, providing a creative platform used by millions worldwide.
What you will do
- Design and build AI platform capabilities on Azure, specifically focusing on agent runtimes, orchestration, and tool integration.
- Define and implement the Agentic AI Platform initiative, establishing how agents are integrated and operated across the organization.
- Create standardized templates for LLM and Generative AI workflows, including prompt design, tool calling, and failure handling.
- Implement secure and governed access patterns for LLMs using APIM, platform gateways, Entra ID, and RBAC.
- Develop LLMOps and AgentOps capabilities, including telemetry, run history, token optimization, and cost-aware usage controls.
- Partner with Cloud Infrastructure and Security teams to ensure AI environments are scalable, secure, and cost-effective.
Requirements
- Significant experience as an AI Engineer or AI Platform Engineer delivering production-grade AI systems.
- Hands-on experience with LLMs, Generative AI, and agent-based systems in real-world environments.
- High proficiency in Python and experience building APIs and service-oriented systems.
- Practical experience with CI/CD pipelines, automated testing, and versioned deployments.
- Strong understanding of observability tooling (logging, metrics, tracing) and telemetry.
- Comfortable working in cloud environments, preferably Azure.
Nice to have
- Experience with Azure AI Foundry.
- Experience with Azure API Management (APIM) for governance or integration.
- Familiarity with AgentOps, MLOps, or GenAIOps concepts.
Culture & Benefits
- Exclusive employee discount and sample sales.
- 25 days paid annual leave plus an additional celebration day.
- Private medical care scheme and discretionary bonus scheme.
- Flexible benefits allowance (cash or benefit options).
- Personalized learning opportunities and career development.
- Summer hours: finishing at 3pm on Fridays during June, July, and August.
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