Sr Staff AI Engineer, Context Engineering
California - Remote Office, United States
R
USD 220K-255K Senior-level Full Time
Tasks
- Advocate model context protocol
- Architect and secure AWS services
- Architect and secure Azure services
- Architect context fabric for enterprise data
- Architect context retrieval systems
- Automate root cause analysis
- Build agent interfaces and tool execution environments
- Build infrastructure as code
- Build low latency high throughput data access
- Define CI/CD standards
- Design AI platform roadmap
- Design CI pipelines with security scanning
- Evaluate small language models
- Implement OpenTelemetry observability
- Implement human approval workflows
- Implement human in the loop triggers
- Implement reasoning based retrieval
- Integrate AI native CI CD evaluation
- Lead architecture reviews
- Manage GitOps workflows
- Optimize governance and cloud cost
- Prototype and benchmark agent architectures
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement savings plan
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AWS CloudWatch | AWS EC2 | AWS IAM | Agent Orchestration | Agentic RAG | Amazon S3 | ArgoCD | Automated Root Cause Analysis | Automated testing | Azure Cost Management | Azure Monitor | CI/CD | Cause analysis | Cost Explorer | Cost Management | CrewAI | Data Lakehouse | Distributed Systems | Flux | GitHub Actions | GitLab CI | GitOps | Human-in-the-loop | Infrastructure as Code | Java | LLM | LLM Evaluation | Langgraph | MCP | Model Context Protocol | Multi-Agent | Multi-agent orchestration | OpenTelemetry | Python | Root Cause Analysis | Scala | Security Scanning | Systems Architecture | Terraform | The Loop | Vector Databases | “as-code”
Education
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