AI Engineer II
Tasks
- Add observability for logging tracing usage dashboards and monitoring
- Build and maintain domain specific subagents that consume MCP
- Design configure scale MCP servers that expose data as tool resources
- Document agent configurations data contracts and workflow runbooks
- Enforce governance and data access controls across agent integrations
- Implement agent orchestration patterns including tool invocation and fallback logic
- Integrate agents with dbt semantic layer and models
- Manage S3 bucket structure and access patterns for agent context
- Translate business requirements into maintainable technical implementations
Perks/Benefits
- 401k match
- Dental insurance
- Education assistance
- Health insurance
- Paid parental leave
- Personal days
- Sick leave
- Vacation days
- Vision insurance
Skills/Tech-stack
AWS S3 | Airflow | Apache Airflow | CrewAI | DBT | Data Governance | IAM | Langgraph | Logging | MCP | Model Context Protocol | Monitoring | Observability | Orchestration | Python | SQL | Snowflake | Tool use | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Backend | Backend Developer | Data Engineer | Developer | Engineer
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