Full-Time

Software Engineer 2

Updated on 9/4/2026

Hello Patient

Hello Patient

11-50 employees

Automates patient messaging for healthcare providers

Compensation Overview

$120k - $160k/yr

+ Equity

New York, NY, USA

Hybrid

Category
Software Engineering (1)
Required Skills
LLM
FastAPI
Python
React.js
Docker
RAG
TypeScript
AWS
Next.js
Observability
REST APIs
HIPAA

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Requirements
  • At least 3 years of professional software engineering experience building and shipping production applications.
  • Experience owning and delivering meaningful product features end-to-end.
  • Strong full-stack development experience, or a strong primary focus in frontend or backend development with the ability to work across the stack.
  • Proficiency with TypeScript, React, and modern frontend frameworks; Next.js is preferred.
  • Strong backend development experience with Python and API frameworks such as FastAPI.
  • Solid understanding of databases, APIs, testing, and production reliability.
  • Experience building and deploying cloud-based applications using Amazon Web Services, Docker, and modern development workflows.
  • Experience using AI-powered development tools such as Claude Code, Cursor, or OpenCode to improve coding, debugging, testing, or overall engineering productivity.
  • Ability to work independently, make thoughtful technical decisions, and ask for help when needed.
  • Strong communication skills and ability to collaborate effectively across teams.
Responsibilities
  • Design, build, test, and ship customer-facing features across frontend applications, backend services, and AI workflows.
  • Develop user experiences using React, Next.js, and TypeScript.
  • Build backend services and application programming interfaces using Python and FastAPI.
  • Translate product requirements into technical solutions.
  • Work with Product and Design to understand problems, propose solutions, and iterate based on customer feedback.
  • Own projects from technical design through implementation, testing, deployment, and iteration.
  • Break down complex or ambiguous problems into manageable technical solutions.
  • Make engineering decisions and seek input from teammates when needed.
  • Build reliable, maintainable, and scalable systems.
  • Collaborate with engineers to identify tradeoffs and find pragmatic solutions.
  • Develop features powered by conversational artificial intelligence, large language models, and automation.
  • Work on systems involving voice, short message service, chat, scheduling, and patient engagement workflows.
  • Build integrations with healthcare systems and third-party application programming interfaces.
  • Improve the reliability, quality, and performance of artificial-intelligence-powered experiences.
  • Write clean, maintainable, well-tested code.
  • Participate in code reviews, technical discussions, and architecture decisions.
  • Improve reliability, observability, testing, and engineering workflows.
  • Share knowledge with teammates and contribute to engineering culture.
  • Raise the quality and consistency of the systems.
Desired Qualifications
  • Experience building AI-powered applications, large language model workflows, agent-based systems, or retrieval-augmented generation pipelines.
  • Experience with healthcare technology, Health Insurance Portability and Accountability Act requirements, Fast Healthcare Interoperability Resources, Health Level Seven International, or other regulated industries.
  • Experience with event-driven architecture, real-time systems, or distributed applications.
  • Experience working in an early-stage startup environment.
  • Experience improving engineering processes, developer tooling, testing infrastructure, or technical documentation.

Hello Patient offers an AI-powered healthcare communication platform that automates patient outreach for clinics and dental practices using an AI assistant named Mia. Mia handles SMS and phone call workflows with secure 24/7 patient messaging, customizable voices, multiple languages, and API integrations to fit existing systems, able to respond, schedule, remind, and triage patient interactions. It targets healthcare providers with healthcare-grade security, language and voice options, and smooth system integration to streamline patient engagement and clinic operations. Its goal is to reduce administrative workload for care teams so they can spend more time on patient care, delivering value from the first interaction.

Company Size

11-50

Company Stage

Series A

Total Funding

$26.3M

Headquarters

Austin, Texas

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 2025 Series A from Scale Venture Partners funds hiring in engineering and sales.
  • 400,000 patient conversations in under a year signal strong product-market pull.
  • Billing automation expands from scheduling into revenue-cycle operations, increasing ROI and retention.

What critics are saying

  • Assort Health raised $120M in June 2026, outspending Hello Patient on go-to-market.
  • EHR vendors and incumbents like Luma, Artera, and Hyro are shipping native agents.
  • One customer case drives credibility; a failed Piedmont expansion would crush enterprise sales.

What makes Hello Patient unique

  • Healthcare-only voice, SMS, and web agents beat generic chatbot vendors.
  • Piedmont Urgent Care retired voicemail in June 2026 after a 40-day rollout.
  • Hello Patient’s billing agent handled 20,000 monthly calls and resolved 48% autonomously.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

20%

1 year growth

20%

2 year growth

0%
Beauty Tech Derm
Jul 30th, 2026
Assort Health signals the next wave of voice AI in healthcare.

Assort Health signals the next wave of voice AI in healthcare. Artificial intelligence is becoming an increasingly familiar part of healthcare, but much of the attention has focused on clinical decision support and medical documentation. A newer category of AI is gaining momentum behind the scenes: voice agents that handle patient communication and administrative workflows. That trend accelerated this month as Assort Health announced a $120 million Series C funding round, bringing the company's total funding to $222 million. Led by Menlo Ventures with participation from Lightspeed Venture Partners, GV, Quiet Capital, First Round Capital, Chemistry, Tao Ventures, and others, the investment reflects growing confidence that AI voice platforms may become foundational infrastructure for healthcare organizations. Beyond scheduling. Assort Health launched in 2023 with a focus on helping specialty practices manage patient phone calls. Since then, the platform has expanded far beyond appointment scheduling. Today, its AI agents support patient intake, referrals, insurance eligibility, document processing, laboratory requests, prescription refills, payments, and follow-up communications. Rather than handling a single task, the platform is designed to support patients throughout their entire care journey while reducing repetitive administrative work for healthcare staff. The company says its proprietary AI model, Synapse, was developed specifically for specialty care. According to Assort Health, Synapse learns from each deployment by generating edge cases, testing workflows, and continuously improving as it processes new patient interactions. That specialty focus is supported by a substantial proprietary dataset built from approximately 190 million patient interactions, 62,000 specialty care protocols, and 1.6 million clinical pathways. Instead of relying solely on general-purpose large language models, Assort Health is building AI around the unique workflows that distinguish specialties like dermatology, orthopedics, cardiology, and immunology. Dermatology is already seeing results. Among the practices using the platform is MDCS Dermatology, a multi-location dermatology group serving patients throughout New York and New Jersey. The practice initially adopted Assort Health's AI for inbound scheduling and call triage before expanding into additional outbound patient communication workflows. According to practice leadership, the platform connects scheduling, referrals, intake, insurance eligibility, payments, and other operational processes into a unified system instead of treating each as separate administrative tasks. MDCS reports a 20% increase in appointment bookings since implementation while maintaining a 4.9-star rating across more than 30,000 online reviews. The practice also says the increased efficiency has supported continued provider growth without sacrificing the patient experience. As dermatology practices continue balancing growing patient demand with staffing challenges, AI-powered administrative tools may become increasingly valuable for improving access while allowing clinical teams to focus on patient care. A growing race for healthcare AI. Assort Health's funding comes as investment in healthcare AI agents continues to accelerate. Companies including Artera, UnityAI, EliseAI, Hello Patient, Tennr, and Prosper AI are all developing AI systems designed to automate patient communications and administrative operations. While many platforms offer similar capabilities, companies are increasingly competing on proprietary healthcare data, specialty-specific expertise, and real-world implementation experience rather than simply offering conversational AI. For Assort Health, that competitive advantage may come from the scale of its deployments. The company reports 20-fold revenue growth over the past 15 months, driven by adoption across specialty practices and expanding partnerships with healthcare systems ranging from community organizations to academic medical centers. Looking ahead. Voice AI is quickly evolving beyond virtual receptionists into intelligent administrative platforms capable of managing much of the patient journey before a physician ever enters the exam room. For practices, that could mean fewer missed calls, shorter scheduling delays, and more efficient front-office operations. For patients, it may translate into faster access to care, more personalized communication, and fewer administrative barriers. As healthcare organizations continue investing in AI, the companies that combine specialty-specific knowledge with large proprietary datasets and proven clinical workflows may be best positioned to shape the next generation of patient access technology.

PR Newswire
Jul 9th, 2026
Georgia urgent care network retires voicemail with AI agent handling 20,000 billing calls monthly

Piedmont Urgent Care, Georgia's largest urgent care network with 88 locations, has deployed an AI agent built by Hello Patient to handle its billing calls. The agent went live in 40 days and now manages over 20,000 billing calls monthly with zero hold time. The AI agent, which patients know as Pete, resolves approximately 48% of calls without staff involvement, freeing nearly 1,000 staff hours per month. It verifies callers, explains charges and insurance coverage, offers payment plans, and texts secure payment links. When needed, it routes complex queries to billing staff with full conversation context. WellStreet, which manages Piedmont Urgent Care, has retired its voicemail system entirely. The agent provides round-the-clock coverage whilst the billing centre operates weekdays from 8:00 to 17:00. Hello Patient, founded in 2024 and based in Austin, Texas, is HIPAA-compliant and SOC 2 Type 2 certified.

All Health Tech
Sep 11th, 2025
Hello Patient lands $22.5 Mn Series A to reinvent healthcare's "Front Door"

Hello Patient, the conversational AI startup reinventing patient engagement, has secured $22.5 million in a Series A funding round led by Scale Venture Partners.

Business Wire
Sep 4th, 2025
Hello Patient Raises $22.5 Million Series A to Fix the “Front Door” of Healthcare With Conversational AI

Hello Patient, the conversational AI company reinventing patient communications, today announced a $22.5 million Series A financing led by Scale Venture Part...

Mirtech
Aug 27th, 2025
Assort Health secures $50M to streamline automated patient communications, sources reveal

Additionally, Hello Patient, another AI solution for healthcare interactions, raised $20 million in Series A funding earlier this month.