Senior Engineering Manager (AI)
Tasks
- Define and evolve platform patterns and SDKs
- Design build and operate MCP servers
- Drive adoption of AI driven software engineering practices
- Drive retrieval augmented generation and prompt lifecycle management
- Enable domain teams with documentation tooling examples and training
- Ensure security reliability and compliance across conversational systems
- Establish architectural standards for extensibility and maintainability
- Implement LLM specific testing and evaluation
- Improve platform observability for LLM systems
- Lead engineering teams building LLM based conversational capabilities
- Partner with cloud services and AWS for deployment tooling
- Provide technical coaching and quality expectations
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Artificial Intelligence | Automation | Code review | Developer Tooling | Development Lifecycle | Evaluation | Infrastructure as Code | Language Models | Large Language Models | Latency monitoring | Model Context Protocol | Monitoring | Prompt engineering | Retrieval-Augmented Generation | SDK development | Security | Software Development Lifecycle | Software development | Test generation | Testing | “as-code”
Education
N/A
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