Senior Applied AI Engineer - Life Sciences & Healthcare
Tasks
- Build and deploy AI voice and messaging agents end to end
- Build dashboards and internal tooling
- Collaborate with product and platform teams to improve systems
- Create data ingestion pipelines
- Create de identification pipelines
- Create reusable per client configuration components
- Design and maintain relational and caching databases
- Develop production backend services
- Implement HIPAA compliant data handling
- Implement agent output guardrails
- Integrate with CRM and healthcare data systems
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | CI/CD | Caching | Data Ingestion | Data Quality | Data Warehouse | Databricks | De-identification | EHR | ELT | EMR | ETL | Encryption | Event Driven | Event-driven architecture | Function Calling | GCP | Guardrails | HIPAA | HubSpot | JavaScript | LLM orchestration | Lakehouse | Monitoring | Prompt engineering | Query Optimization | Relational Database | S3 | Salesforce | Snowflake | State Machine | Streaming Media | Structured Output | TypeScript | WebSockets
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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