Sr. AI Engineer
Tasks
- Build AI agent workflows
- Build internal AI training
- Create regression testing frameworks
- Deliver training across engineering teams
- Deploy AI integrations to production
- Design multi-agent systems
- Document AI workflow changes
- Embed AI into SDLC workflows
- Evaluate AI model variants
- Implement prompt versioning
- Implement responsible AI guidelines
- Instrument AI workflows with observability
- Manage upstream model update impact
- Mitigate prompt injection risks
- Monitor AI infrastructure costs
- Optimize token efficiency
- Prevent data leakage
- Protect against PII exposure
- Select model tiers based on cost and latency
Perks/Benefits
- 401k match
- Company-Paid Holidays
- Employee assistance program
- Infertility benefits
- Medical Travel Benefits
- Medical/Dental/Vision insurance
- Paid parental leave
- Paid time off
- Pet insurance
- Sick days
- Teladoc
- Wellness benefits
Skills/Tech-stack
AI Agents | Agent systems | CI/CD | Data leakage | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Observability | PII | Prompt injection | Prompt versioning | Regression testing | Responsible AI | Token efficiency
Education
N/A
Roles
AI | AI Engineer | Engineer
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