Senior AI Engineer
Tasks
- Build orchestration and inter agent communication
- Contribute to AI governance and engineering standards
- Design multi agent AI system architecture
- Develop bespoke AI frameworks and tooling
- Establish testing and evaluation strategies for agentic systems
- Implement context persistence and state management
- Implement model evaluation and safety quality controls
- Integrate AI systems with existing infrastructure
- Lead production implementation of AI systems
- Own async patterns and AI SDK design
- Review work and raise engineering standards
- Set AI engineering technical standards and mentor engineers
Perks/Benefits
- Annual bonus
- Annual training budget
- Company laptop
- Cycle to work scheme
- Employee assistance programme
- Extra holiday
- Fitness benefit
- Flexible working arrangements
- Free ChipX subscription
- Private medical insurance
- Season ticket loan
- Workplace pension scheme
Skills/Tech-stack
AWS Bedrock | Agent communication | Agent systems | Amazon ECS | Amazon SageMaker | Asynchronous programming | Behavior Analysis | Context persistence | Evaluation Frameworks | EventBridge | Hallucination mitigation | Human-in-the-loop | Inter-agent communication | Model behavior | Model behavior analysis | Multi-Agent | Multi-Agent Systems | Orchestration | Production observability | Retrieval systems | Retrieval-Augmented Generation | Runtime safety | Software development | State management | Synthetic data | Testing | The Loop
Education
N/A
Roles
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