Applied AI Engineer - Life Sciences & Healthcare
Tasks
- Build and deploy AI messaging agents
- Build and deploy AI voice agents
- Build dashboards and internal tooling
- Build data ingestion pipelines
- Build production backend services
- Collaborate with product and platform teams
- Create reusable client configuration patterns
- Design caching layers
- Design relational databases
- Ensure HIPAA-compliant data handling
- Implement de identification pipelines
- Implement encrypted recordings
- Implement output guardrails
- Implement real time API access to PHI
- Implement routing and ML logic
- Integrate with CRMs
- Integrate with EHR EMR systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | CI/CD | Caching | Claims Processing | Cloud infrastructure | Containers | Data Lake | Data Quality | Data Warehouse | Data de-identification | Database Design | Databricks | De-identification | Deidentification pipelines | EHR | ELT | EMR | ETL | Encryption | Event Driven | Event-driven architecture | Function Calling | GCP | HIPAA | High Throughput | High-throughput APIs | HubSpot | LLM orchestration | Monitoring | Pharmacy systems | Prompt engineering | Python | Query Optimization | Relational Database | Relational Database Design | Salesforce | Security | Snowflake | Streaming Media | Structured Output | TypeScript | WebSockets
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Senior Applied AI Engineer
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