Production AI Engineer - Vice President
Location(s): London, England, United Kingdom
GBP 180K-250K (estimate) Executive-level Full Time
Tasks
- Architect agentic AI workflows
- Automate anomaly detection and remediation
- Collaborate across platform data product teams
- Design production grade software systems
- Develop clean tested documented code
- Ensure compliance for system design and data handling
- Implement AI-native observability
- Implement Agile SCRUM or Kanban
- Integrate large language models with operational tools
- Lead continuous delivery automation
- Manage infrastructure as code and GitOps
- Mentor AI engineering practices and prompt design
- Operate CI/CD pipelines
- Perform root cause analysis
Perks/Benefits
- Annual leave
- Employee assistance program
- Hybrid work model
- Learning and development resources
- Life insurance
- Paid parental leave
- Pension plan
- Private medical care
Skills/Tech-stack
Agent Orchestration | Agile | Apache Kafka | AppDynamics | Autogen | CI/CD | Cause analysis | CloudFormation | CrewAI | Datadog | DevSecOps | Development Lifecycle | Docker | Dynatrace | Git | GitOps | Go | Infrastructure as Code | Istio | Java | Kanban | Kubernetes | LLM APIs | Langchain | Langgraph | Language Model | Large Language Model | MQ | Machine Learning | Multi-Agent | Multi-agent orchestration | Prompt engineering | Pulumi | Python | Root Cause Analysis | Root cause | Scrum | Service Mesh | Software Development Lifecycle | Software development | Terraform | Vector Databases | “as-code”
Education
Roles
AI Engineer | Engineer | Production AI Engineer | Software Engineer
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