AI Engineering Manager- United States
United States - Remote
R
USD 150K-190K (estimate) Senior-level Full Time
Tasks
- Align with Product Data and DevOps
- Apply prompt engineering and evaluation
- Build vector database solutions
- Define telemetry based decision making
- Design scalable secure maintainable systems
- Drive experimentation and A/B testing
- Embed automation into testing and CI CD pipelines
- Ensure system reliability observability cost efficiency
- Establish AI governance and safe usage
- Establish AI native coding standards
- Implement AI output validation and guardrails
- Implement RAG architectures
- Integrate LLMs and AI components
- Lead LLM integration decisions
- Lead and mentor developers and QA engineers
- Monitor model performance
- Own AI product architecture
- Own predictable high quality releases
- Raise AI literacy across the team
- Serve as technical escalation point
- Set up human in the loop workflows
- Use AI orchestration frameworks
- Validate AI features production readiness
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Governance | AI guardrails | AI orchestration | Amazon Web Services | Artificial Intelligence | Automated testing | B testing | CI/CD | Cloud Computing | Cloud platform | Distributed Systems | Google Cloud | Google Cloud Platform | Human-in-the-loop | LLM integration | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Microsoft Azure | Model Monitoring | Prompt engineering | Prompt evaluation | Retrieval-Augmented Generation | Safety engineering | Semantic Kernel | System Observability | Telemetry | Vector Database | Vector Search | Web Services
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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