Senior Engineer, Applied AI
Ro · US · US
Posted 60+ days ago
Software Engineering
Hybrid
Not yet analysed
Demand80
Career growth85
Healthcare fit30
Remote potential70
5-year outlook
Strong growth potential with competitive compensation typical for senior AI engineering roles in health tech, likely above average for the industry.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
full-time
Date found
2026-09-06
Intelligence details
Why this is worth applying to
Only consider if you have substantial software engineering and AI/ML experience. Clinicians with such a background can leverage their domain knowledge to build impactful healthcare AI tools, but this is not a typical non-clinical transition role.
Who should apply
Clinicians with a strong background in computer science, AI/ML, or software engineering, especially those with experience in healthcare operations or clinical workflows.
CV angle
Emphasize any technical projects, AI/ML coursework, or software development experience. Highlight clinical domain expertise as a differentiator for understanding user needs and building relevant AI solutions.
Skills to highlight
- LLM orchestration
- Prompt engineering
- Evaluation frameworks
- Retrieval-augmented generation
- Python
- System design
- Healthcare domain knowledge
- Cross-functional collaboration
Role summary
Senior engineer responsible for building and shipping LLM-powered features across a telehealth platform, working closely with clinical operators to improve workflows and patient experience.
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