Senior Engineering Manager (AI)
Tasks
- Define and evolve platform patterns and SDKs
- Design build and operate MCP servers
- Drive adoption of AI assisted coding and testing automation
- Drive retrieval augmented generation and prompt lifecycle management
- Enable domain teams with documentation tooling and training
- Ensure security reliability and compliance for conversational systems
- Establish architectural standards for extensibility and maintainability
- Implement LLM testing and evaluation harnesses
- Implement platform observability for LLM systems
- Integrate model and provider services
- Lead engineering teams building LLM conversational capabilities
- Partner with Cloud Services and AWS for infrastructure deployment
- Provide technical coaching for engineering quality
Perks/Benefits
- Development opportunities
- Reward and recognition
- Volunteering opportunities
- Wellness
- Work-life balance
Skills/Tech-stack
API | AWS | Amazon Web Services | Behavior Change Detection | Behavior change | Change detection | Code review | Compliance | IaC | Infrastructure as Code | LLM | Language Models | Large Language Models | Latency monitoring | MCP | Model Context Protocol | Monitoring | Observability | Prompt engineering | RAG | Retrieval-Augmented Generation | SDK | Security | Test automation | Testing | Web Services | “as-code”
Education
N/A
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