Staff Software Engineer, Product

present of AI; San Francisco (CA); On-site; USD 210,000 - 320,000; Full time

Job summary

present of AI is seeking a Senior Backend Engineering leader in San Francisco to design and scale the backend platform behind our clinical documentation products. You will guide system design, reliability, and observability while shipping new AI-enabled capabilities.

Ideal candidates bring deep backend experience, a history of leading cross-team initiatives, and comfort owning initiatives from design through deployment in a high-stakes health tech environment.

Qualifications

• Senior technical leadership role overseeing backend architecture for clinical documentation products.
• Strong track record leading cross-team initiatives from design to deployment.
• Experience with large-scale backend systems, reliability, observability, and shipping new product areas.

Responsibilities

• Own the backend platform design and implementation for AI-powered clinical workflows.
• Drive reliability, performance, and deployment quality across teams and services.
• Collaborate with researchers and clinicians to ensure safe, scalable AI-driven features.

Skills

Backend architecture

Cross-team leadership

Observability

Reliability

AI workflow tradeoffs

Tools

TypeScript

Python

Go

Job description

Engineering San Francisco FullTime Senior level

This is a senior technical leadership role building and scaling the backend platform behind clinical documentation products. A strong candidate brings many years of software engineering with deep backend architecture experience, a record of leading cross team initiatives, and comfort owning a major initiative from design through deployment. The work spans system design, reliability, observability, and shipping new product areas with research and go to market partners.

How it fits the AI era

The role sits on an AI platform team, so the work involves making model powered workflows fast, reliable, and trustworthy for clinicians at large health systems. AI handles the listening, drafting, and coding, while the engineer focuses on the systems, tradeoffs, and quality checks that keep those outputs dependable in high stakes care. Human judgment about architecture, evaluation, and rollout stays central.

How it builds AI experience

A candidate would gain hands on exposure to building infrastructure for clinical AI products, including evaluation loops and agent behavior, alongside researchers who also practice medicine. Experience with model powered workflows, retrieval and reasoning systems, or healthcare data integrations would help. The posting notes exposure to AI advances through the company's OpenAI connection.

Worth showing

• Backend system architecture
• Leading cross team initiatives
• TypeScript Python Go
• Observability and reliability
• AI workflow tradeoffs

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 Healthcare

AI that listens to clinical visits and drafts the documentation, coding and clinical checks so doctors spend less time on the screen.