Mid Level AI Models Engineer
Heidi Health · Melbourne · AU
Posted 60+ days ago
Health Tech
Hybrid
Not yet analysed
Demand85
Career growth90
Healthcare fit35
Remote potential70
5-year outlook
AI engineers in healthcare are in high demand, with strong salary growth potential as the sector expands. Compensation is competitive but varies by location and experience.
Clinical license
Not required
Applicant reach
broad
Seniority
mid
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with strong software engineering or machine learning backgrounds should consider this role to leverage clinical insights in AI product development. Most clinicians without technical skills will find it inaccessible.
Who should apply
Clinicians with computer science, data science, or informatics backgrounds, or those who have already transitioned into health tech and have hands-on experience with LLMs and production systems.
CV angle
Highlight clinical domain expertise and any technical projects, such as building clinical decision support tools, using EHR data, or experience with LLMs in healthcare settings. Emphasize ability to bridge clinical and technical teams.
Skills to highlight
- Python
- PyTorch
- Fine-tuning
- LLM deployment
- Cloud infrastructure (AWS/GCP)
- Agent frameworks
- Communication with clinicians
- Problem-solving in ambiguous environments
Role summary
Mid-level AI engineer at a healthcare AI company, responsible for customizing, deploying, and integrating language models for clinical use cases, working directly with enterprise customers.
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