Senior Principal AI Engineer, Agentic Systems
Tasks
- Build eval frameworks
- Create tool registries
- Define model strategy
- Develop clinical operations agents
- Develop clinician copilots
- Ensure PHI safe logging
- Establish AI reliability and safety best practices
- Implement observability and guardrails
- Lead agentic AI architecture
- Lead model fine tuning and distillation
- Manage prompt and policy versioning
- Mentor engineers and data scientists
- Own model evaluation and failure analysis
- Partner with product, clinical, and data teams
- Run simulation environments
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Agent systems | DBT | Deep learning | EHR Integration | Explainable AI | Fine Tuning | HIPAA | Healthcare Data | Knowledge Distillation | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | On-Call | PGVector | Planning | Policy Management | PostgreSQL | Prompt engineering | Python | Risk Assessment | Simulation | Snowflake | Tool use | Vector Databases
Education
Regions
Countries
States
Cities
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