Principal Software Engineer (AI) ( US)
Tasks
- Apply safe rollout and rollback strategies
- Build AI evaluation and experimentation frameworks
- Build embeddings and vector stores
- Create AI data pipelines
- Design production AI systems
- Develop AI orchestration and workflow services
- Develop hybrid search
- Ensure observability logging alerting
- Establish AI and data platform components
- Implement OCR and NER pipelines
- Implement incident response practices
- Implement prompt configuration and versioning
- Implement responsible AI and security by design
- Lead AI reference architecture
- Mentor engineering teams
- Partner with data and analytics teams
- Partner with product management to define AI opportunities
- Run offline and online evaluation
- Translate prototypes into scalable platform capabilities
Perks/Benefits
- Continuous development support
- Employee assistance program
- Employee recognition
- Flexible paid time off
- Parental and caregiver leaves
- Retirement plan matching
- Wellness support
Skills/Tech-stack
AI RMF | Agentic Systems | Alerting | Artificial Intelligence | Audit Logging | Data Pipelines | Data integration | Embeddings | Entity recognition | Evaluation | Experimentation | HIPAA | Hybrid search | Language Processing | Logging | Machine Learning | Model Broker | Model Serving | Model routing | Monitoring | Multi-model | Multi-model routing | NIST AI | NIST AI RMF | Named Entity Recognition | Natural Language | Natural Language Processing | OCR | Observability | Privacy controls | Prompt engineering | RAG | RBAC | Retrieval-Augmented Generation | Telemetry | Vector Databases | Vector Search
Education
Roles
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