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Staff Software Engineer ($210k-$270k + Equity) at well-funded AI healthtech startup
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-31
Listing for:
Jack & Jill
Full Time
position Listed on 2026-07-31
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Software Architect, Cloud Engineer - Software
Job Description & How to Apply Below
Job Title
Staff Software Engineer
Salary$210k-$270k + Equity
Company DescriptionWell-funded AI healthtech startup
Job DescriptionAs a Staff Engineer, you will architect and build an AI platform that automates complex operational and administrative workflows for healthcare providers. You'll lead technical direction across distributed systems and LLM-powered features, moving from product ideation to production code. This role offers high autonomy to solve significant inefficiencies in a massive industry.
LocationSan Francisco or New York City, USA
Why this role is remarkable- Work directly with a high-caliber technical team of industry veterans and academic experts in a high-energy, in-person collaborative culture.
- Backed by top-tier VCs, this company is leveraging generative AI to tackle massive administrative friction and accountability issues in modern healthcare.
- High degree of ownership and influence over the technical roadmap, with a direct line between your code and real-world efficiency gains.
- Architect and implement scalable backend systems and distributed infrastructure to support mission-critical healthcare data workflows.
- Lead technical decision-making and project prioritization, ensuring the engineering team delivers high-impact product features and reliable systems.
- Integrate advanced AI and LLM capabilities into production environments to automate manual data processing and complex review tasks.
- 7+ years of professional experience shipping production-grade backend code using Python, Node.js, Java, or C++.
- Proven track record of designing distributed systems and managing modern cloud infrastructure such as AWS, Docker, and Kubernetes.
- Strong technical leadership skills with the ability to mentor senior engineers and set long-term architectural strategy for the team.
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