Company Description VerityMD Inc. is a leading neurology practice specializing in stroke care, neurocritical care, and telemedicine solutions that expand access to expert neurological services. The organization delivers high-quality, patient-centered care through a collaborative clinical model that emphasizes improved outcomes and continuity of care. A multidisciplinary team of experienced professionals focuses on advancing neurological care through innovation, evidence-based practices, and clinical excellence.

VerityMD Inc. provides exceptional care across both inpatient and outpatient settings, offering a dynamic environment for healthcare and technology professionals who are committed to making a meaningful impact in patients’ lives.

Role Description The Senior Automation Engineer is a full time, work from home 8pm to 5 am IST. responsible for designing, implementing, and optimizing automation systems that support neurology practice operations and related clinical workflows.

Projects include:

Automating patient scheduling and communication workflows

Integrating phone, fax, EHR and other healthcare systems

Building internal operational tools and dashboards

Automating referral and document-processing workflows

Creating work queues and exception-management systems

Automating billing and revenue-cycle workflows

Developing APIs and integrations between existing applications

Using AI/LLMs where they provide a clear advantage

Building systems that reduce repetitive administrative work

Helping develop VerityMD OS, our internal operations and automation platform

Responsibilities

Design and build production-ready internal applications and automations

Develop backend services and APIs using Python

Build lightweight web applications using JavaScript/TypeScript





Design and maintain SQL databases

Connect third-party platforms through REST APIs and webhooks

Develop reliable workflow automations

Integrate AI models into appropriate workflows

Implement logging, monitoring, error handling and audit trails

Handle authentication, permissions and sensitive healthcare data appropriately

Work closely with operations staff to understand workflows before automating them

Document systems so they can be maintained by other engineers

Identify opportunities where automation can eliminate manual work

Qualifications

4–7 years of software engineering experience

Strong Python

Strong experience with REST APIs, webhooks and integrations

JavaScript/TypeScript

SQL and relational databases

Backend application development

Git/GitHub

Cloud deployment experience with AWS, Azure or GCP

Authentication/API security

Workflow automation

Experience building and maintaining production systems

AI Experience

We want someone comfortable using modern AI development tools rather than someone whose only experience is building basic chatbot wrappers.

Experience with the following is valuable:

OpenAI/Anthropic or similar APIs

Structured LLM outputs and tool/function calling

AI-assisted document processing

Prompt design and evaluation

RAG/vector search where appropriate

AI coding tools

Building guardrails around AI workflows

Controlling model/API costs

Experience with any of the following is a strong plus:

U.S. healthcare

EHR/EMR integrations

Epic or healthcare APIs

HL7/FHIR

Revenue cycle management

Medical billing

Contact-center/VoIP integrations

RingCentral

Electronic fax/document processing

Looker or other BI tools

HIPAA/security requirements

- Healthcare workflow automation

📌 Senior Automation Engineer (India)
🏢 VerityMD
📍 India