AI Engineering Manager
Tasks
- Apply retrieval augmented generation methodology
- Create human-in-the-loop workflows
- Design scalable secure maintainable systems
- Develop prompt engineering and evaluation
- Drive cross team alignment with Product Data and DevOps
- Embed automation into testing and CI CD pipelines
- Ensure reliability, observability, and cost efficiency
- Establish AI governance and safe usage
- Establish AI native coding and review standards
- Implement AI output validation and guardrails
- Implement RAG architectures
- Integrate LLM components
- Lead AI orchestration decisions
- Lead mentor developers and QA engineers
- Monitor model performance
- Optimize AI cost performance tradeoffs
- Own AI enabled system architecture
- Own predictable high quality releases
- Run experimentation and A B testing
- Serve as technical escalation point
- Use telemetry for decision making
- Validate AI features for production readiness
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | Azure OpenAI | B testing | CI/CD | Cloud Computing | Cloud platform | Google Cloud | Google Cloud Platform | Human-in-the-loop | Langchain | Llamaindex | Model Monitoring | Observability | OpenAI | Prompt engineering | Retrieval-Augmented Generation | Semantic Kernel | The Loop | Vector Search
Education
N/A
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