Principal Software Engineer (AI) (CAD)
Tasks
- Apply RBAC audit logging privacy controls
- Build embeddings and vector stores
- Build orchestration and workflow services
- Create prompt and configuration versioning
- Design end to end AI data pipelines
- Design production AI systems
- Develop evaluation and experimentation frameworks
- Drive adoption of AI best practices
- Ensure observability logging alerting incident response
- Establish AI data components
- Implement AI model routing
- Implement NER preprocessing and chunking
- Implement document ingestion and OCR
- Implement hybrid search
- Implement responsible AI security by design
- Lead AI reference architecture
- Mentor and coach engineers
- Partner with product to validate AI opportunities
- Run offline and online evaluations
- Set up telemetry monitoring and cost governance
Perks/Benefits
- Allyship and inclusion communities
- Continuous development support program
- Employee assistance program
- Employee recognition programs
- Fertility and adoption support
- Flexible paid time off
- Parental and caregiver leave
- Retirement plan matching
- Wellness support
Skills/Tech-stack
AI RMF | Agentic Systems | Artificial Intelligence | Audit Logging | Cost Optimization | Data Engineering | Embeddings | Evaluation | Experimentation | HIPAA | Hybrid search | Logging | Machine Learning | Model Serving | Monitoring | NER | NIST AI | NIST AI RMF | OCR | Observability | Orchestration | Privacy controls | Prompt engineering | RBAC | Retrieval-Augmented Generation | Telemetry | Vector Databases | Vector Store
Education
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