Senior Engineering Manager (AI)
Tasks
- Define and evolve platform patterns abstractions SDKs and extension points
- Design build and operate MCP servers
- Drive adoption of AI assisted coding code review test generation operational automation and developer tooling
- Drive retrieval augmented generation prompt lifecycle management model provider integration and observability
- Enable domain teams with documentation tooling examples training and support
- Ensure security reliability and compliance across conversational systems
- Establish architectural standards for extensibility and maintainability
- Implement LLM specific testing and evaluation harnesses
- Lead engineering teams building LLM conversational platform components
- Partner with Cloud Services and AWS for scalable deployment models
- Provide technical coaching for engineering quality
Perks/Benefits
- N/A
Skills/Tech-stack
AI-assisted coding | API Design | AWS | Assisted coding | CI/CD | Code review | Infrastructure as Code | LLM | MCP | Observability | Prompt engineering | Retrieval Techniques | Retrieval-Augmented Generation | SDK | Security Compliance | Test automation | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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