Clinical AI Engineer
Tasks
- Architect and ship end to end AI features
- Build responsive user interfaces
- Implement ASR and speech processing for clinical workflows
- Implement and fine tune audio processing pipelines
- Implement observability and feedback loops for production monitoring
- Integrate and optimize voice AI workflows
- Manage cloud infrastructure and deployments
- Own integrations from concept to production
- Prototype and deploy improvements to model behavior
- Translate clinician feedback into model and prompt improvements
- Tune fullstack performance for real time audio streaming and token generation
Perks/Benefits
Skills/Tech-stack
AWS | Audio Processing | Automatic Speech Recognition | CI/CD | Containers | GCP | LLM | Observability | Prompt engineering | Python | RAG | React | Real Time | Real-time Systems | Serverless | Speech Processing | Speech Recognition | Time Systems | Token streaming | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Clinical AI Engineer | Engineer | Full Stack | Full Stack Engineer
Regions
Countries
States
Cities
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