C

Clinically AI

Full-Stack Engineer

Full-Time
$110k - $140k/yr+ Equity
Mid, Senior
San Diego, CA, USA
Hybrid
Software EngineeringFull-Stack Engineering

About the job

Requirements
  • Move comfortably across front-end, back-end, mobile, and browser-extension code.
  • Design clean, scalable architecture, anticipate technical problems, and make pragmatic tradeoffs under real constraints.
  • Use modern AI developer tools to build faster and improve quality.
  • Drive work forward autonomously in a fast-growing, high-velocity environment.
  • Partner with product, design, and customer-facing teams to translate clinician needs into shipped solutions.
  • Mentor engineers and raise technical standards and best practices.
  • Have 4+ years of full-stack development experience delivering production-grade systems from concept to launch.
  • Be proficient in TypeScript, React, Node.js, and MongoDB, with strong front-end fundamentals in HTML, CSS, JavaScript, DOM manipulation, and Fetch/XHR, and expertise in browser extensions or similar browser-integrated technologies.
  • Have expertise designing, building, and consuming RESTful APIs, with strong familiarity across NoSQL data models.
  • Have strong problem-solving skills and the ability to design scalable architecture and anticipate technical challenges.
  • Communicate and collaborate effectively, and partner comfortably with technical and non-technical teams.
  • Be familiar with CI/CD using GitHub Actions, version control best practices, and modern DevOps workflows.
  • Have a strong sense of ownership and the ability to drive work autonomously.
Responsibilities
  • Architect, develop, and ship features across React front-ends, Node services, mobile apps for iOS and Android, browser extensions, and AI-driven infrastructure; own major components from design through deployment with a focus on scalability, maintainability, and user experience.
  • Collaborate with product, design, AI/ML, and customer-facing teams to translate clinician needs into high-impact solutions.
  • Use developer-focused AI tools to accelerate development, improve code quality, and strengthen system reliability.
  • Contribute to hackathons and rapid prototyping, and identify technologies and opportunities through awareness of industry trends.
  • Lead technical decisions, contribute to architectural strategy, and help define engineering patterns as the platform grows.
  • Mentor other engineers, promote best practices, and help build a supportive engineering culture.
  • Own key product areas end to end and help build and scale new teams as the company grows.
Desired Qualifications
  • Experience with AI/ML pipelines, large language models, model evaluation, or data processing workflows.
  • Knowledge of Kubernetes, container orchestration, Google Cloud Platform, Helm, Terraform, and distributed systems.
  • Experience developing mobile applications for iOS or Android, or integrating cross-platform frameworks.
  • Experience in fast-paced startup environments, especially where engineers have significant ownership.
  • A history of independently building projects, such as open-source projects, side projects, research, or entrepreneurial work.
  • Familiarity with healthcare, clinical documentation workflows, or regulated environments, including HIPAA, SOC 2, NIST, or ISO frameworks.
  • Experience designing systems that balance usability, accuracy, and performance at scale.

About the company

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