Software Engineer, EHR Integrations

Full Time

• Product Engineering
• Hybrid
• USD 100000 -180000 / year

About DeepScribe

DeepScribe is building the future of healthcare technology. Our vision goes beyond automating medical notes - we are building AI agents for providers, streamlining diverse clinical workflows such as clinical trial matching, billing, and more. By embedding AI deeply into healthcare operations, we empower clinicians to deliver exceptional care.

We’ve raised over $60 million in total funding from top-tier investors, including Index Ventures and prominent angels such as Alexandr Wang (CEO of Scale AI) and Dylan Field (CEO of Figma). Our solutions are trusted by some of the largest healthcare organizations in the country, including The US Oncology Network (the nation’s largest oncology network) and Ochsner Health (the largest healthcare system on the Gulf Coast).

About the role

We’re looking for an exceptional software engineer to work on one of the most essential and complex parts of DeepScribe - EHR integrations. At DeepScribe, it’s critical that our product integrates seamlessly into the provider workflow, and this means integrating into the software that doctors use every day - the EHR.

You’ll work across our EHR integrations, which span major EHR platforms including Epic, Flatiron, Ontada / iKnowMed, serving thousands of providers. These integrations handle the full lifecycle of clinical documentation, from retrieving patient context to writing SOAP notes back into the medical record.

What you’ll do

Contribute to the design and implementation of our EHR integrations platform, delivering core features that will shape the future of our product

Build new integrations with new EHRs and add new capabilities to existing EHR integrations, working with standards like HL7 v2 / v3, FHIR, and proprietary APIs

Collaborate with external EHR vendors and clinical IT teams to troubleshoot integration issues and ensure seamless deployment

Build monitoring and alerting systems to ensure integration reliability for mission-critical clinical workflows

About you

You have experience integrating with EHR systems such as Epic (Interconnect, FHIR APIs), Cerner, or other major platforms

You understand healthcare data standards including HL7 (v2, v3), FHIR, and CDA documents

You have experience working with sensitive health data and familiarity with HIPAA compliance requirements

You enjoy solving problems and writing code using languages like Python and Typescript

You move really, really fast while keeping the quality bar high

You’re comfortable with on‑call rotations and supporting production systems that healthcare providers depend on daily

You are curious and are excited by the challenge of applying LLMs to novel problems in healthcare

You care deeply about your teammates and contribute to a collaborative, team‑oriented culture

Nice to have

Experience managing and deploying code in AWS architecture

Experience working with LLM‑powered applications and AI agents

Background in healthcare IT or prior work at health tech companies

This is a remote position, although Bay Area residents are encouraged to work from our SF office.

Perks and benefits

$100,000 to $185,000 annual salary

Meaningful equity stake in the company

Flexible PTO

Work from home stipend

Medical, Dental, Vision, 401K and other benefits are also offered

About the Team

At DeepScribe, we value trust, teamwork, and transparency, and we’re dedicated to promoting diversity and equity in the workforce through inclusive hiring practices. Candidates with backgrounds that are underrepresented in the technology industry are encouraged to apply.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required eligibility verification form upon hire.

How to use AI during our hiring process

When applying : create the first draft of your resume yourself, but it’s OK to use AI to help you polish it

While preparing : use AI to research DeepScribe, practice your answers, or prepare questions for us

During take‑home assignments : feel free to use AI to help you complete your work, but be prepared to explain and take responsibility for anything that you deliver

During live interviews : no AI assistance of any kind unless we indicate otherwise. We want to see how you think, approach problems, and work through challenges in real time

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