Senior Software Engineer
Job details
- Pay
- $160,000 – $200,000 a year
- Work mode
- Hybrid
- Level
- Senior
- Experience
- 5+ years
- Posted
- Oct 13, 2026
- Last confirmed open
- Oct 14, 2026
About this role
Senior Full Stack Engineer (AI & Healthcare Technology) $160,000-$200,000 base salary + equity San Francisco, CA - Hybrid About the Company Join a fast-growing, venture-backed technology company focused on improving healthcare through innovative data, software, and AI-driven solutions.
The team consists of experienced engineers, scientists, and industry leaders working together to build products that help healthcare professionals make better decisions and improve outcomes for patients.
The Opportunity
We're seeking a Senior Full Stack Engineer to develop intelligent, AI-powered applications that streamline workflows for clinical users. You'll work closely with stakeholders to identify challenges, build scalable solutions, and leverage modern AI technologies to improve efficiency and user experience.
What You'll Do
- Build and ship full-stack applications using Python, Django, React, JavaScript/TypeScript.
- Develop AI/LLM-powered features and workflow automation tools.
- Design APIs, databases, and scalable backend systems.
- Integrate third-party services and AI platforms.
- Contribute to architecture decisions and technical strategy.
- Mentor engineers and promote engineering best practices.
- Partner closely with product and business teams to deliver impactful solutions.
What We're Looking For
- 5+ years of full-stack software engineering experience.
- Strong experience with Python, React, JavaScript/TypeScript, and modern web applications.
- Experience designing APIs, databases, and scalable systems.
- Familiarity with AI/LLMs, either professionally or through meaningful personal projects.
- Strong communication and collaboration skills.
- Comfortable working in a fast-paced, startup environment.
- Nice to Have Healthcare or regulated industry experience.
- Experience with LLM applications, prompt engineering, or RAG.
- Kubernetes or containerization experience.
- Technical leadership or mentoring experience.
Why Candidates Are Interested
Build cutting-edge AI products with real-world impact. High ownership and visibility across the organization. Work on challenging full-stack and AI engineering problems.
Collaborative, mission-driven team environment. Strong growth potential and equity opportunity.