Staff AI Engineer
Tasks
- Build evaluation and experimentation infrastructure
- Build retrieval-augmented generation pipelines
- Create document understanding pipelines
- Design build and scale AI features end to end
- Develop multi-agent systems
- Ensure production deployment and continuous improvement
- Establish monitoring and reliability infrastructure
- Implement long context reasoning
- Integrate frontier models
- Mentor engineers through code and architecture review
- Partner with product and domain experts on system decisions
- Set technical direction for agentic architecture
Perks/Benefits
- Cycle to work scheme
- Equity options
- Flexible location
- Flexible working hours
- Free lunch
- Late night food budget
- Matched pension contributions
- Paid holiday
- Professional development budget
- Professional equipment
- Training opportunities
Skills/Tech-stack
12-Factor | 12-Factor App | Agent Orchestration | Agentic Systems | Anthropic | Artificial Intelligence | CI/CD | Datadog | Distributed Systems | Document Understanding | Evaluation and experimentation | Fault-tolerant | Fault-tolerant systems | GraphQL | High Performance | High-Performance Computing | Language Models | Large Language Models | Long Context | Long-context reasoning | Machine Learning | Monitoring | Multi-Agent | Multi-agent orchestration | Observability | OpenAI | Performance Computing | Prometheus | Reliability Engineering | Retrieval-Augmented Generation | Secure APIs | WebSockets
Education
N/A
Roles
AI Engineer | Engineer | Senior AI Engineer | Staff AI Engineer
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