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# AI Engineer (AI Platform)

- **Company:** Описаниеasos
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Routing, Software Construction, Datadog, Data Logging, Large Language Models, Caching, Generative AI, AI Platforms, Machine Learning Operations, Api Design, Api Management
- **Published:** September 29, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/ai-engineer-ai-platform/48989832

## About the Role

deployment and operationPractical understanding of production LLM or GenAI runtime concerns, including model access, routing, caching, token usage, cost optimisation and reliabilityHigh proficiency in Python and experience building APIs and service-oriented systemsExperience with CI/CD pipelines, automated testing and versioned deployments for AI or platform componentsPractical experience with observability tooling, including logging, metrics, tracing and alerting, and using telemetry to improve reliability and performanceComfortable working in cloud environmentsStrong collaboration skills and ability to influence platform standards and enable other engineering teamsTake a pragmatic, engineering-led approach to responsible and ethical AI, focusing on safety, reliability and trust Будет плюсом: Azure AI Foundry or comparable GenAI or agent platforms, Azure API Management (APIM), AgentOps, MLOps or GenAIOps concepts, including monitoring, evaluation and feedback loopsУсловияEmployee
discountEmployee sample sales25 Days paid annual leave plus an extra celebration dayDiscretionary bonus schemePrivate medical care schemeFlexible benefits allowance, available as extra cash or towards other benefitsPersonalised learning and in-the-moment development opportunities #J-18808-Ljbffr

## Description

agent tool-access patterns, including MCP/tool abstraction, credential management and enterprise API integrationContribute to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback loopsContribute to production AI reliability patterns, including latency monitoring, alerting, scaling considerations and operational readinessApply CI/CD and software engineering best practices to AI platform and agentic componentsEmbed observability by default so AI systems are measurable, debuggable and auditable through logs, metrics and tracesPartner with Cloud Infrastructure and Security teams to design secure, scalable and cost-effective Azure environmentsТребованияSignificant experience as an AI Engineer, AI Platform Engineer or similar, delivering production-grade AI systemsHands-on experience with LLMs, Generative AI and agent-based systems in real-world environmentsStrong understanding of the end-to-end AI lifecycle, from experimentation through