Senior/Staff Applied AI Engineer
Tali AI · CA · CA
Posted 60+ days ago
Health Tech
Hybrid
Not yet analysed
Demand90
Career growth90
Healthcare fit30
Remote potential70
5-year outlook
Competitive for senior AI engineering roles, with potential for equity in a fast-growing startup. Salaries in healthcare AI are typically high due to specialized domain knowledge and technical demand.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only for clinicians with deep ML engineering experience; otherwise not a fit. For those with both clinical and technical expertise, this is a high-impact opportunity to shape healthcare AI.
Who should apply
Clinicians with a background in computer science, data science, or ML engineering, especially those with clinical informatics or healthcare AI experience.
CV angle
Highlight clinical domain expertise as a differentiator for understanding clinical workflows and building trustworthy AI. Emphasize any experience with clinical data, EHRs, or healthcare AI projects.
Skills to highlight
- Machine learning engineering
- Evaluation pipeline design
- Agentic systems
- Production systems
- Data pipelines
- Python
- Observability
- Clinical workflow understanding
Role summary
Senior/Staff Applied AI Engineer at Tali AI, a healthcare AI startup building ambient scribes and clinical decision support tools. The role involves owning AI systems end-to-end, including model development, evaluation, and production deployment.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.