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Clinically AI

Senior Full-Stack Engineer

San Diego, California, United States

Location
San Diego, California, United States
Work
Hybrid
Employment
Full-time
Level
Senior
Function
Engineering
Pay
$175K – $220K a year
Posted
7 weeks ago

Pay and the market here

The top of this role’s range, $220K a year, is 7% above the median of $205K for senior engineering jobs in San Diego (middle half $155K – $240K, 105 jobs that state pay).

370 engineering jobs open in San Diego: 11% remote, 87 posted in the last 30 days.

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About the role

About Clinically AI

Clinically AI is a rapidly scaling healthcare AI company transforming how behavioral health and healthcare organizations manage clinical documentation, compliance workflows, chart auditing, and operational efficiency through artificial intelligence.

Our platform helps clinicians, compliance teams, administrators, and healthcare organizations reduce administrative burden, improve documentation quality, strengthen audit readiness, and operate more efficiently. We operate at the intersection of AI, healthcare operations, workflow design, and real-world clinical execution, where adoption, trust, usability, and measurable outcomes matter.

The Opportunity

Behavioral health is at a tipping point. Funding is tightening, compliance demands are growing, and clinician burnout is rising. The work is harder than ever — and the need for smart, compassionate solutions has never been greater.

We are seeking a Senior Full-Stack Engineer to build and scale the platform that measurably reduces clinician burnout across behavioral health and healthcare organizations.

This is a critical role for someone who can own features end-to-end across our stack, architect systems that are fast and secure by design, and turn real clinical and compliance pain points into elegant, AI-driven solutions. You will work closely with our product, clinical, and engineering leadership to ship tools that cut documentation time by 60–80%, streamline compliance, and let practitioners spend more time on patient care and less on paperwork.

This is not a purely maintenance-oriented or ticket-taking engineering role. You should be comfortable owning ambiguous problems, working independently in modern, ephemeral development environments, mentoring other engineers, and shipping with velocity in a fast-moving startup environment.

We believe successful engineering at Clinically AI is defined not by lines of code shipped, but by measurable reductions in clinician burden, systems built to scale, and features that clinicians actually trust and adopt.

What You'll Own

  • Own the stack. Build and scale features across our entire platform — from frontend browser extension UI to cloud-native services and infrastructure.
  • Architect with intention. Design systems that are fast, secure, and built for growth.
  • Solve meaningful problems. Partner with product and clinical teams to turn real pain points into elegant, AI-driven solutions.
  • Work in modern environments. Develop independently in ephemeral environments that eliminate merge conflicts and enable rapid iteration.
  • Mentor and lead. Share knowledge, raise the bar, and help shape our engineering culture.
  • Drive innovation. Explore, test, and ship new ideas with velocity.

What We're Looking For

  • Full-Stack Ownership. You move fluidly between frontend, backend, and infrastructure, and you don't wait for permission to fix what's broken.
  • Pragmatic Architecture. You design systems that are fast and secure without over-engineering, and you make tradeoffs with long-term growth in mind.
  • AI-Native Problem Solving. You look for where AI can meaningfully cut clinician busywork, not just where it's technically interesting to apply.
  • Startup Velocity. You ship, iterate, and course-correct quickly, and you're comfortable operating with incomplete information in a fast-moving, ephemeral-environment workflow.
  • Technical Leadership. You raise the bar for the engineers around you through your code, your reviews, and your example — with or without a formal title.
  • Clear Communication. You translate complex technical tradeoffs into language product, clinical, and leadership stakeholders can actually act on.

Required Qualifications

  • 6+ years of full-stack development experience, with a proven track record of leading projects from conception to deployment.
  • Deep proficiency in our core stack — TypeScript, React, Node.js, and MongoDB — including strong front-end fundamentals (HTML, CSS, JavaScript).
  • Experience developing and maintaining browser extensions.
  • Demonstrated experience with CI/CD pipelines, GitHub, and GitHub Actions.
  • Strong background building enterprise-grade RESTful APIs and working with NoSQL databases.
  • Exceptional problem-solving ability and proactive architectural planning skills.
  • Outstanding communication and collaboration capabilities.

Preferred Qualifications

  • Experience with AI/ML technologies and data analysis tools.
  • Knowledge of Kubernetes and container orchestration.
  • Experience with agile methodologies and fast-paced startup environments.
  • Active participation in open-source projects or technical communities.
  • Background in healthcare technology or clinical documentation systems.
  • History of building independent projects from start to finish.

Compensation & Benefits

Base salary: $175,000–$220,000 + equity

Actual compensation will depend on experience, scope, and overall alignment with the role. Equity participation is an important component of our compensation philosophy.

We offer competitive compensation, stock options, unlimited PTO, medical, dental, and vision coverage, and a 401(k) with company match and Roth option.

Equal Employment Opportunity

Clinically AI provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, or any other characteristic protected by applicable law.

Source

Posted by Clinically AI on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:47 UTC; the original is the reference.

View the original ad ↗

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