Senior Staff Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Staff Software Engineer (AI): Architecting foundational systems, CI/CD infrastructure, and developer platforms for a safety-critical healthcare AI company with an accent on software craftsmanship and production engineering. Focus on establishing engineering standards, improving developer velocity, and ensuring high reliability in clinical environments.
Location: On-site in Palo Alto (expected in office five days a week)
Company
is a leading generative AI company in healthcare developing safety-focused LLMs for autonomous clinical conversations with patients.
What you will do
- Define and uphold engineering standards, quality bars, and best practices for code structure and observability across the organization.
- Own production readiness end-to-end, ensuring testability and safe rollback are core design constraints.
- Architect modular, scalable systems and clean interfaces to prevent codebase rot during rapid growth.
- Design and implement CI/CD pipelines, including canary deployments, blue/green releases, and progressive delivery.
- Establish infrastructure for feature flags and controlled experimentation to enable incremental delivery.
- Multiply developer velocity by optimizing local environments, build speeds, and internal tooling.
Requirements
- BS in Computer Science or equivalent.
- 12+ years of software engineering experience with production ownership at scale.
- Deep backend fluency in Python, Go, or Java.
- Strong command of software design (modularity, dependency inversion, separation of concerns).
- Hands-on experience building and operating CI/CD pipelines, feature flags, and progressive rollouts.
- Must be based in Palo Alto and work from the office five days a week.
Nice to have
- Experience in healthcare, life sciences, or other regulated safety-critical industries.
- Familiarity with ML infrastructure, model serving, or LLM evaluation pipelines.
- Background in platform engineering, DevEx, or observability (SLO design, distributed tracing).
- Experience building engineering culture within a high-growth startup.
Culture & Benefits
- Opportunity to work on category-creating AI technology with a $3.5B valuation.
- Culture that treats patient safety as a first-class engineering design principle.
- Collaborative environment working alongside AI pioneers, physicians, and researchers.
- Focus on engineering rigor and high-impact, real-world healthcare outcomes.
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