AI Engineer
Tasks
- Build agentic AI systems with tool use
- Build reusable components and shared libraries
- Deploy AI solutions with enterprise security standards
- Design AI applications end to end
- Diagnose issues with post deployment diagnostics
- Implement automated observability and alerting
- Implement structured remediation processes
- Mentor engineers and enforce engineering standards
- Monitor model health for drift and degradation
- Translate prototypes into production services
Perks/Benefits
- 401k match
- Dental
- EAP
- Education assistance
- Flexible spending accounts
- Holidays
- Life insurance
- Long-term disability
- Medical
- Paid time off
- Parental leave
- Short-term disability
- Vision
Skills/Tech-stack
API Development | Agentic AI | Alerting | Compliance | Data Ingestion | Data integration | Deep learning | Drift Detection | Enterprise Data | Enterprise data integration | Guardrails | Language Processing | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Serving | Natural Language | Natural Language Processing | Observability | Python | RAG | Retrieval-Augmented Generation | Security controls | Software Architecture | Tool use | Workflow Orchestration
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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