Quadrivia is the health technology company behind Qu, a comprehensive, controllable, and customizable assistant AI built by clinicians, for clinicians. Addressing the urgent shortage of healthcare professionals, Qu provides real-time, personal, and reliable support for clinical tasks across the care continuum. Designed for providers, payers, and pharmaceutical companies, Qu is easy to customize and integrates seamlessly into workflows, delivering precise assistance across the care spectrum.
The RoleYou will design and build the backend systems powering the Quadrivia clinical AI platform—including high-availability services, event-driven architectures, data pipelines, and the orchestration layers used by our clinical AI agents (see pages 15–20 on orchestrator and knowledge base).
This role is deeply hands-on, technical, and foundational to our reliability, safety, and performance.
Key ResponsibilitiesImplement, and maintain backend service (not tiny microservices—well-designed domain-driven boundaries).
Build scalable systems for supporting customer features and operational platform.
Implement resilient, high-throughput data pipelinessa.
Ensure accuracy, safety, and compliance in all system interactions with clinical data.
Own reliability: observability, fallback strategies.
Collaborate closely with AI, Clinical, QA, and Security teams.
Write clean, test-driven, maintainable code.
Validate and own all AI-generated code contributions.
Healthcare related experience working under SOC2/ISO27001, HIPAA/GDPR, or medical device regulatory requirements.
10+ years in backend engineering with high-scale distributed systems.
Expert in Python, FastAPI, async systems, and event-driven architectures.
Strong knowledge of object and relational database, caching, message stream, message queues.
Engineering standards: , DDD, CQRS, Design Patterns, SOLIP Principles, DRY, KISS, TDD
Cloud & DevOps literacy: GCP, Kubernetes, Docker, Terraform
Deep understanding of resilient systems, fault tolerance, and high availability.
Excellent communicator—clear, structured, concise, preferably following S.T.A.R/S.A.R or related.
Culture fit: kind, exceptionally smart, mission-driven, field expert.
Healthcare related experience working under SOC2/ISO27001, HIPAA/GDPR, or medical device regulatory requirements.
Knowledge of Hexagonal Architecture, CQRS
Experience with ML Ops, RAG, LLM workflows, voice agents, STT/TTS diarization.
Exposure to telephony/VoIP infrastructure.
Quadrivia’s backend systems become a global reference for reliability, safety, and performance.
Your services operate with >99.99% availability under strict regulatory constraints.
Engineers can build new clinical workflows and agent capabilities rapidly and safely.
AI-generated code is consistently elevated, corrected, and owned by you.
Skills Required
- 10+ years in backend engineering with high-scale distributed systems
- Expert in Python, FastAPI, async systems, and event-driven architectures
- Healthcare related experience working under SOC2/ISO27001, HIPAA/GDPR
- Strong knowledge of object and relational databases, caching, message streams, and message queues
- Cloud & DevOps literacy: GCP, Kubernetes, Docker, Terraform
What We Do
Quadrivia is building Qu, a personal clinical assistant with wide capabilities across the care spectrum. It is designed by clinicians for clinicians, and the communities we serve. According to the World Health Organization, there is a global shortfall of up to 18 million healthcare workers. A root cause of the worldwide challenge with the quality, accessibility and affordability of healthcare is this structural imbalance between elastic demand by population and constrained supply of providers. Care is delivered globally in many different ways. By making Qu comprehensive, controllable and customizable, we aim to help healthcare professionals be in control of AI’s utility, safety and quality. Qu’s cognitive architecture of expanding agents is designed to support clinicians not just for a single task but across the full stack of routine clinical and administrative tasks, patient interactions, decision-making, chronic and post operative care, continuous monitoring and support, in multiple languages.
