Senior AI Engineer, Real-World Data
Tasks
- Define success metrics with clinical AI engineering and product teams
- Design build deploy agent based AI systems for clinical data extraction
- Develop evaluation and monitoring for AI impact and safe deployment
- Improve performance scalability and cost of AI systems
- Integrate AI capabilities into production platforms
- Own technical design and delivery for agent workflows
- Provide technical leadership documentation and design decisions
Perks/Benefits
- 401k benefits
- Commuter benefits
- Employee referral program
- Fertility care benefits
- Free testing
- Life and disability plans
- Medical, dental & vision coverage
- Pregnancy and baby bonding leave
Skills/Tech-stack
AI orchestration | AWS | AWS Fargate | AWS Lambda | AWS S3 | AWS SQS | Agentic Workflows | CI/CD | Code review | Docker | Error Handling | Event Driven | Event-driven architecture | JavaScript | Language Models | Large Language Models | Linux | Observability | Python | REST APIs | Retrieval-Augmented Generation | Structured Output | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
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