AI Engineering Manager
Tasks
- Apply prompt engineering and evaluation
- Define AI native coding and review standards
- Define human-in-the-loop workflows
- Design scalable secure maintainable systems
- Drive A B testing and telemetry decisions
- Drive cross team alignment with Product Data DevOps
- Embed automation into testing and CI CD pipelines
- Ensure system reliability observability cost efficiency
- Establish AI governance and safe usage
- Implement AI orchestration frameworks
- Implement AI output validation and guardrails
- Implement RAG architectures
- Lead LLM integration decisions
- Lead experimentation and evaluation
- Leverage AI-assisted development tools
- Mentor developers and QA engineers
- Monitor model performance
- Optimize AI cost performance tradeoffs
- Own AI product architecture
- Own predictable high quality releases
- Serve as technical escalation point
- Validate AI features production readiness
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Governance | AI compliance | AWS | Azure | Azure OpenAI | B testing | CI/CD | Cloud platform | Distributed Systems | Google Cloud | Google Cloud Platform | Guardrails | Human-in-the-loop | Langchain | Language Models | Large Language Models | Llamaindex | Model Monitoring | OpenAI | Prompt engineering | Retrieval-Augmented Generation | Semantic Kernel | System Observability | Telemetry | Testing Automation | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
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