Senior AI Developer
Hinge Health · Montreal-HQ · US
Posted 60+ days ago
Software Engineering
Hybrid
Not yet analysed
Demand90
Career growth85
Healthcare fit25
Remote potential50
5-year outlook
Strong growth potential with competitive compensation typical for senior AI engineering roles in health tech, likely above market average.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians without a strong software engineering background should not apply, as this requires 3+ years of cloud and ML infrastructure experience. However, clinicians with a CS degree and relevant technical experience could leverage their healthcare domain knowledge to stand out.
Who should apply
Clinicians with a background in computer science, data science, or software engineering, especially those with experience in ML operations or cloud infrastructure.
CV angle
Highlight any technical skills, data analysis, and understanding of clinical workflows to bridge the gap between healthcare and AI engineering.
Skills to highlight
- AWS
- ML operations
- LLM deployment
- observability
- Python
- cloud infrastructure
- agent orchestration
- security compliance
Role summary
Senior AI Developer at Hinge Health responsible for building and operating infrastructure for multi-modal AI models in production, including deployment, monitoring, and optimization.
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