Senior Full Stack Systems Engineer - AI-Enabled Remote
About the Role
We are looking for a Senior Full Stack Systems Engineer (AI-Enabled) remote to join our growing engineering team. This role requires an end-to-end systems engineer who can take an application from zero to MVP, into production, and through the challenges of scaling to a massive, distributed system. You will architect, build, deploy, and maintain full-stack SaaS applications that serve healthcare organizations nationwide. A genuine desire to specialize in HealthIT and build technology that directly impacts patient care and healthcare delivery is essential.
What You'll Do
- Architect, develop, and maintain scalable full-stack web applications end-to-end — from front-end interfaces through back-end services, infrastructure, CI/CD, QA, and production operations.
- Own the full application lifecycle: ideation → MVP → production → performance optimization → scaling to distributed systems that far exceed original design requirements.
- Integrate AI-powered tools and workflows (GitHub Copilot, Claude, Cursor, ChatGPT, or similar) into daily development to accelerate delivery and improve code quality.
- Build and consume RESTful APIs and microservices architectures.
- Design and manage cloud infrastructure, CI/CD pipelines, monitoring, and observability.
- Implement quality assurance strategies including automated testing, integration testing, and production health checks.
- Collaborate with product, design, and operations teams to translate business requirements into robust technical solutions.
- Implement and maintain EHR integrations, ensuring HL7/FHIR compliance where applicable.
- Ensure all development adheres to HIPAA security and privacy standards.
- Conduct code reviews, mentor junior developers, and contribute to engineering best practices.
- Troubleshoot production issues, optimize application performance, and lead incident response.
- Participate in architectural decisions and contribute to long-term technical strategy.
- Stay current with emerging AI tools, frameworks, and full-stack technologies relevant to HealthIT.
Requirements
- 7–15 years of professional experience in full-stack web development, with demonstrated progression in scope and complexity.
- Proven experience not just building features, but owning applications through the full lifecycle — from initial build through production operations and scaling.
- Strong proficiency in modern front-end frameworks (React, Next.js, Vue, or Angular) and back-end technologies (Node.js, Python, or similar).
- Demonstrated experience using AI-assisted development tools to enhance productivity and code quality.
- Solid understanding of relational and non-relational databases (PostgreSQL, MongoDB, etc.).
- Experience with cloud platforms (AWS, Azure, or GCP), containerization, and CI/CD pipelines.
- Excellent problem-solving skills and the ability to work independently in a remote environment.
- Strong communication and collaboration skills.
- A genuine interest in specializing in healthcare technology.
- Must have a personal PC/workstation capable of handling professional development workloads.
Nice to Have
- Prior experience in HealthIT, MedTech, or regulated industries.
- Familiarity with healthcare interoperability standards (HL7, FHIR).
- Working knowledge of HIPAA compliance as it relates to software development.
- Experience building or integrating AI/ML features into web applications (e.g., NLP, predictive analytics, intelligent automation).
- Background in DevOps practices, containerization (Docker, Kubernetes), and infrastructure-as-code.
- Contributions to open-source projects or a strong public portfolio.
What We Offer
- Fully remote work environment.
- The opportunity to work on meaningful technology that directly impacts healthcare delivery.
- A collaborative, innovation-driven team culture.
- Professional growth within a company at the intersection of healthcare and cutting-edge technology.
This role offers a unique opportunity to work at the intersection of technology and healthcare, focusing on AI-enabled solutions that directly impact patient care.
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