Note: The job is a remote job and is open to candidates in USA. Matic is an AI-native clinical intelligence platform designed to orchestrate care-to-collection workflows the way clinicians actually practice. The Full-Stack Engineer will lead application development for healthcare partnerships, building and maintaining features across both frontend and backend, while collaborating closely with the Matic team.
Responsibilities
- Lead new application development for healthcare group partnerships, generating AI mockups to communicate functionality and design direction, proposing database schemas, setting up cloud infrastructure, and building API integrations with existing partner tools and workflows — all in close collaboration with the Matic team
- Build and maintain full-stack features in our SvelteKit application, owning both front-end implementation and back-end APIs
- Deploy and maintain Google Cloud infrastructure across Cloud Run, Cloud Functions, and other GCP primitives in both Node.js and Python runtimes
- Develop and maintain LLM integrations, including prompt engineering, model routing, evaluation, and output quality testing across hosted and self-managed AI platforms
- Build agentic AI workflows that automate clinical documentation tasks and integrate our platform with EHR systems (e.g., Epic, eClinicalWorks, Athena) via FHIR and proprietary APIs
- Triage and resolve AI quality issues flagged by physicians, diagnosing failure modes in note generation and applying targeted fixes
- Write comprehensive tests and actively participate in QA to ensure our AI deployments work reliably in clinical settings
- Collaborate directly with physicians to understand clinical workflows firsthand and translate their feedback into product improvements
Skills
- Strong Python and/or Node.js skills, including REST APIs, async patterns, and serverless functions
- Production experience with SvelteKit and TypeScript
- Proficiency with Tailwind CSS and the ability to translate Figma designs into polished UI
- Hands-on experience with Google Cloud Platform, including Cloud Run, Cloud Functions, GCS, IAM, and related services
- Firebase / Firestore experience
- Practical experience working with LLM APIs (OpenAI, Anthropic, Gemini, or similar), including prompt engineering, function calling, and output evaluation
- Rigorous attention to detail and a strong testing mindset; our systems operate in clinical environments where errors have real consequences, and we hold a strict "don't ship broken" standard regardless of how the code was written
- Fluent English with clear written and verbal communication skills — essential when working directly with clinical users
- Experience with EHR integrations or FHIR standards
- Background in or exposure to healthcare / clinical workflows
- Familiarity with agentic frameworks
- Experience with vector databases or RAG pipelines
- Experience building instrumentation dashboards
- Experience building test suites
- Experience with AI-led workflows
- Experience with deep product analytics
Company Overview