Neara
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr