AI Engineer / AI Analyst
USD 100K-120K Mid-level Full Time
Tasks
- Build automation workflows for notifications and token adjustments
- Build configure and maintain pipeline usage cost reporting dashboards
- Configure MCP servers and tool integrations
- Configure agentic workflows and connectors
- Coordinate tool onboarding end to end
- Coordinate vendor evaluation scheduling
- Maintain AI evaluations test plans and UAT
- Maintain evidence packs and audit ready records
- Maintain lifecycle records for AI tools and platforms
- Monitor adoption cost and usage metrics
- Perform rubric based LLM evaluation
- Run AI intake queue and pipeline dashboard
- Track SLAs and portfolio health
- Validate permissions and data access for AI assistants
Perks/Benefits
- N/A
Skills/Tech-stack
API requests | Access Controls | Agents | Analytics | Budget Alerts | Change Control | Consumption attribution | Cost Tracking | Cost reporting | Data Classification | Docker | FinOps | Function Calling | Git | JavaScript | Jira | KPI Dashboards | LLM Evaluation | Node.js | Privacy and Security | Privacy and security review | Prompting | Python | RAG | Rate Limiting | Risk Management | Security review | Smartsheet | Test Plans | Third Party | Third-Party Risk | Third-party risk management | Throttling | Token Cost | Token Cost Tracking | Tool-Calling | UAT | Vendor Risk | Vendor risk management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Analyst | AI Engineer | AI Governance Analyst | Analyst | Engineer | Governance Analyst
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