# Software Engineer (Fullstack) at Clarion

Software Engineer (Fullstack) at Clarion in NYC Office. On-site, full-time, paying $160k–$190k. Posted January 26, 2026.

- Company: Clarion
- Location: NYC Office
- Workplace: On-site
- Job type: Full-time
- Pay: $160k–$190k
- Experience: 3+ years
- Posted: 2026-01-26
- Apply: https://jobs.ashbyhq.com/clarion/ea6f2fc5-7808-42c4-946f-83b4b10f2085/application
- Source: https://jobmagic.ai/jobs/software-engineer-fullstack-clarion-h22jkc

## Requirements

- 3–5 years of experience building and shipping production software.
- Strong full-stack experience with Node.js, TypeScript, React, and PostgreSQL.
- Comfort working in ambiguous environments and learning quickly.
- A strong sense of ownership—you care about quality, reliability, and real-world impact.
- Clear communication and a collaborative mindset.

## Description

### About Clarion

At Clarion, we’re rebuilding how healthcare communicates in the age of AI.
Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle workflows like scheduling, billing, prescription refills, and follow-ups so healthcare teams can focus on patient care.
We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.
Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $10M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems.

### Why This Role Is Special

- **High-impact ownership:** You’ll own meaningful features and systems used daily in real healthcare environments.

- **Strong signal, early traction:** Dozens of paying customers and growing revenue, with room to shape core product decisions.

- **Learn from experienced builders:** Work closely with founders and senior engineers operating at the intersection of healthcare, AI, and real-time systems.

### What You’ll Work On

- Build and operate **production full-stack features** powering AI-driven healthcare communication.

- Integrate with **EHRs, legacy healthcare systems, and real-time voice infrastructure**.

- Collaborate closely with product, design, and senior engineers to turn customer needs into shipped software.

- Debug and improve **reliability, performance, and scalability** across live systems.

- Contribute to technical discussions, code reviews, and evolving engineering best practices.

### Interesting Technical Challenges

- **AI-powered workflows:** Support and extend LLM-driven systems used in real-time healthcare interactions.

- **Real-time systems:** Work on low-latency services that process live voice and patient data.

- **Healthcare integrations:** Build resilient abstractions across fragmented, regulated systems while maintaining security and compliance.

### What We’re Looking For

- **3–5 years of experience** building and shipping production software.

- Strong full-stack experience with **Node.js, TypeScript, React, and PostgreSQL**.

- Comfort working in ambiguous environments and learning quickly.

- A strong sense of ownership—you care about quality, reliability, and real-world impact.

- Clear communication and a collaborative mindset.

You’ll be a great fit if you enjoy shipping real software, learning from experienced teammates, and growing your technical judgment while working on meaningful problems.

### Interview Process

We move quickly and communicate clearly at every stage:

- **Intro Chat (20–30 min, Virtual):** Background, role context, and mutual fit.

- **Technical Interview (1 hr, Virtual):** Practical system design and coding discussion with an engineer.

- **Onsite Team Day (Half Day, NYC):** Collaborate on real problems, meet the team, and assess mutual fit.

Decisions are typically made **within 24 hours** of each stage.