Senior Software Engineer, Product

present of AI; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Ambience Healthcare in San Francisco seeks a Senior Software Engineer who can take major product features from early shaping through production, collaborating with product and design partners. You should bring five years of hands-on software experience, comfort across the stack, and cloud infrastructure know-how to build reliable health AI workflows.

You will help shape how clinicians interact with AI-powered documentation, coding, and checks, ensuring user-centric design, scalable architecture,

Qualifications

• Minimum five years of hands-on software development experience.
• Experience across the full stack and cloud infrastructure.
• Strong product sense and user-focused mindset.

Responsibilities

• Take major product features from shaping through production.
• Work closely with product and design partners.
• Maintain high code quality while moving quickly.
• Spot system strain early and rework key parts.

Skills

Full stack development

Cloud infrastructure

End-to-end ownership

Product sense

Job description

Engineering · San Francisco · FullTime · Senior level

This role asks for an engineer who can take major product features from early shaping through to production, working closely with product and design partners. A strong candidate brings at least five years of hands on software work, comfort across the stack and cloud infrastructure, and a real instinct for how the end user will experience the product. The work also calls for someone who can spot system strain early, rework key parts before they break, and keep the codebase at a high standard while moving quickly.

How it fits the AI era

The product turns spoken clinical visits into documentation, coding and checks, so the engineering work sits close to AI models and the workflows built around them. AI handles more of the drafting and extraction, which shifts human effort toward shaping the experience, judging quality and keeping systems reliable under real clinical use. The parts that stay human are product judgment, architecture decisions and care for how clinicians actually use the tool.

How it builds AI experience

Working here means building features on top of AI that processes live clinical conversations, so a candidate would gain hands on exposure to applying models inside a high stakes health product. That includes learning how to design around model output, handle its limits and keep the user experience steady. To prepare, a candidate could build or study projects that put AI output into a real workflow and show how they handled the messy parts.

Worth showing

• End to end product ownership
• Full stack web development
• Cloud infrastructure experience
• Product sense for users

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.