AI Engineer II
Beachwood, OH, United States
USD 126K-188K (estimate) Senior-level Full Time
Tasks
- Build generative AI and agentic AI frameworks
- Build infrastructure as code deployment workflows
- Create AIOps pipelines for AI workloads
- Design and optimize AI infrastructure
- Design model deployment pipelines for reliability and scalability
- Design unstructured data pipelines for text document image video and audio
- Develop AI model architecture and design reviews
- Develop observability for AI pipelines
- Drive AI technology evaluation and planning
- Establish automated retraining and drift detection pipelines
- Implement AI governance for bias detection and model explainability
- Implement RAG architecture workflows and chunking strategies
- Implement agentic workflow operationalization
- Implement containerization and orchestration for AI serving
- Implement high availability systems
- Integrate API gateways for AI services
- Lead disaster recovery planning and root cause analysis
- Manage data lifecycle governance for AI use cases
- Perform load testing and latency optimization for inference services
- Provide technical mentorship and leadership
- Recommend and implement AI development and deployment best practices
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | API Gateway | Agentic AI | Alerting | Apigee | Azure | Bias detection | Cloud Architecture | Data Governance | Distributed tracing | Error Handling | Event Logging | Generative AI | Infrastructure as Code | Kubernetes | Latency optimization | Load Testing | MLOps | Machine Learning | Model Explainability | Observability | Predictive Modeling | Prompt engineering | Python | RAG | Terraform | Vectorization | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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