Staff Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Software Engineer (AI): Building an autonomous backend for healthcare revenue cycle management (RCM) with an accent on LLM-powered agents and copilots. Focus on automating claims submission, remittance posting, and document extraction using production-grade AI infrastructure.
Location: Mountain View, CA; Los Angeles, CA; New York City, NY; San Francisco, CA
Compensation: $170K – $240K + Equity
Company
is building an AI Operating System for healthcare to eliminate administrative burdens and transform care delivery and financing.
What you will do
- Define the technical direction of the RCM platform by proposing and implementing architectural improvements.
- Build end-to-end AI products and LLM-powered agents to automate financial workflows in healthcare.
- Own the full lifecycle of AI features from prompt design and evaluations to production infrastructure.
- Improve system reliability, observability, and scalability of web applications for rapid expansion.
- Collaborate with cross-functional teams to gather requirements and define technical approaches.
- Mentor engineers and conduct in-depth code reviews to foster a culture of technical excellence.
Requirements
- 10+ years of professional software development industry experience.
- Proficiency in backend languages: Python, Go, or C++.
- Proficiency in frontend technologies: Javascript, HTML, CSS.
- Experience with GCP/AWS, Docker, Kubernetes, and relational/non-relational databases.
- Proven track record of designing end-to-end solutions and making high-level architectural decisions.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
Culture & Benefits
- Direct impact on patient care by working closely with clinicians.
- Fast-paced environment with daily deployments and high ownership.
- Opportunity to work on a platform with a $7B valuation and high market confidence.
- Collaborative culture that values technical excellence and continuous learning.
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