Senior Full-Stack Engineer — AI Health Platform (Remote)

Ellipsis Health; San Francisco (CA); Remote; USD 160,000 - 210,000; Full time

Benefits offered by this job

401(k) matching

Health insurance

Vision insurance

Dental insurance

Flexible PTO

Job summary

Ellipsis Health is seeking a Senior Full-Stack Engineer to design, build, and scale our conversational AI platform. You’ll work across backend services and frontend apps, collaborating with AI/ML engineers, product managers, designers, and other engineers to deliver secure, reliable health tech solutions.

This role involves designing APIs, data pipelines, and secure EHR integrations (Epic), with a focus on scalability, compliance, and performance for high-volume workloads.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional experience building full-stack applications or backend-heavy systems with frontend exposure.
• Experience building frontend applications using modern frameworks such as React, Vue, or similar.
• Expertise in designing and consuming RESTful APIs and/or GraphQL.
• Solid understanding of microservices architectures, distributed systems, and system design.
• Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Strong database skills with SQL and NoSQL systems (e.g., PostgreSQL, MongoDB, DynamoDB).
• Deep understanding of security best practices, authentication/authorization, and secure data handling.
• Experience building and maintaining CI/CD pipelines and production monitoring/alerting systems.
• Excellent collaboration and communication skills in cross‑functional teams.

Responsibilities

• Design, develop, and maintain end-to-end features across backend services and frontend applications.
• Architect and implement scalable APIs and microservices to support conversational AI workflows and healthcare integrations.
• Build and evolve frontend user interfaces for internal tools and partner-facing products, focusing on usability, performance, and reliability.
• Collaborate closely with AI/ML teams to integrate Voice Pipelines, models, inference pipelines, and AI-driven workflows into production systems
• Lead the design and implementation of database schemas and data pipelines for structured and unstructured healthcare data.
• Design and maintain secure integrations with EHR systems, including Epic, scheduling systems, and other clinical platforms.
• Ensure security, privacy, and compliance (HIPAA, FHIR, and related standards) across the full stack.
• Optimize systems for performance, reliability, and scalability, supporting high-volume, real-time workloads.
• Build and maintain CI/CD pipelines, infrastructure automation, and observability for production services.
• Troubleshoot and resolve complex production issues, participating in on-call or production support rotations as needed.
• Mentor junior engineers and contribute to engineering best practices, code quality, and architectural standards.
• Stay current with emerging technologies and frameworks, applying them thoughtfully to improve product velocity and quality.
• Participate in production support and on-call rotations to maintain high availability and reliability of critical healthcare systems.

Skills

Full-stack engineering

Frontend frameworks (React/Vue)

REST/GraphQL APIs

Microservices architecture

Cloud platforms (AWS/GCP/Azure)

Docker/Kubernetes

SQL/NoSQL databases

Security & compliance (HIPAA/FHIR)

CI/CD & observability

Team collaboration

Education

Bachelor’s or Master’s in CS

Tools

Docker

Kubernetes

AWS

GCP

Azure

PostgreSQL

MongoDB

DynamoDB

Epic EHR / integration tools

Job description

Ellipsis Health is seeking a Senior Full-Stack Engineer to design, build, and scale our conversational AI platform. You’ll work across backend services and frontend apps, collaborating with AI/ML engineers, product managers, designers, and other engineers to deliver secure, reliable health tech solutions.

This role involves designing APIs, data pipelines, and secure EHR integrations (Epic), with a focus on scalability, compliance, and performance for high-volume workloads.