Senior AI Engineer (AI Platform)
London, England, United Kingdom
GBP 72K-90K (estimate) Senior-level Full Time
Tasks
- Apply CI CD best practices for AI platform components
- Build LLMOps and model runtime patterns including routing caching and token optimization
- Collaborate with cloud infrastructure and security teams for secure scalable and cost effective Azure environments
- Create standardized templates and reference implementations for LLM and generative AI workflows
- Define agentic AI patterns for agent runtimes orchestration and tool integration
- Design and build AI platform capabilities on Azure
- Design secure tool access patterns for agents with credential management and API integration
- Enable observability with logs metrics and traces
- Ensure production AI reliability with latency monitoring alerting and scaling readiness
- Implement AgentOps and GenAIOps telemetry run history and feedback loops
- Implement secure governed access patterns for LLMs and enterprise tools
- Support prompt and agent lifecycle testing controlled change and release readiness
Perks/Benefits
- Discretionary bonus scheme
- Employee discount
- Employee sample sales
- Flexible benefits allowance
- Paid annual leave
- Personalised learning
- Private medical care
Skills/Tech-stack
AI Foundry | API Gateway | API Management | APIM | APIs | Agent runtimes | AgentOps | Alerting | Automated testing | Azure | Azure AI | Azure AI Foundry | Azure API | Azure API Management | CI/CD | Caching | Cost Optimization | Entra ID | Evaluation | GenAIOps | Generative AI | LLMOps | Language Models | Large Language Models | Latency monitoring | Logging | MLOps | Managed Identity | Metrics | Model Access | Observability | Orchestration | Prompt engineering | Python | RBAC | Routing | Telemetry | Token optimization | Tool integration | Tracing
Education
N/A
Roles
AI | AI Engineer | AI Platform Engineer | Engineer | Platform Engineer | Senior AI Engineer
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