Product Security Engineer
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Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Engineering
· San Francisco
· Full Time
· Senior level
This role asks for a seasoned security engineer who can shape secure design from architecture through implementation, not just find bugs. A strong candidate brings hands on software engineering experience, deep product security knowledge across auth and APIs, and the judgment to turn findings into practical fixes. The work spans product security and cloud security, so comfort moving between code review, threat modeling, and AWS risk reduction matters.
Howit fits the AI era
AI changes the pace of security work by helping engineers learn unfamiliar areas quickly and widen their coverage. The human core stays the same: validating findings against first principles, making risk calls, and owning every decision. This role sits close to AI products, so securing those systems is part of the job.
How it builds AI experienceThe role offers direct exposure to securing enterprise AI applications and AI enabled products in a clinical setting. Building that experience means learning how AI features handle sensitive data and where their risks differ from traditional software. Candidates can strengthen this by practicing AI assisted security work while keeping a habit of checking outputs carefully.
Worth showing- Secure design and threat modeling
- Auth and API security depth
- Production coding in Go or Python
- Cloud security on AWS
- Driving fixes to resolution
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Ambience HealthcareAI that listens to clinical visits and drafts the documentation, coding and clinical checks so doctors spend less time on the screen.
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