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Artera

SaaS patient communications platform for healthcare

Associate AI Builder

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$80k - $140k /yr

About the Job

Requirements

  • Have 0–3 years of professional experience in software engineering, data science, machine learning, product management, product design, or technical project management, or equivalent demonstrated output; fresh graduates are welcome.
  • Demonstrate AI-native fluency and measurable leverage, producing output comparable to multiple traditional engineers using AI-native tools such as Claude Code in the terminal as the primary working environment, and learn new technology quickly.
  • Work productively and directly with customers, onboard them, own customer relationships, and translate customer conversations into technical decisions.
  • Apply product-manager curiosity and project-manager discipline by asking why before how, scoping and sequencing work, communicating status, and delivering work.
  • Communicate in writing and verbally sufficiently to present complex concepts to teammates, managers, and customers at an appropriate level of detail.
  • Meet eligibility for a government background check and comply with organizational security policies and federal data protection standards.
  • Protect the confidentiality, integrity, and availability of organizational systems and data, including personal identifiable information and protected health information; where applicable, implement safeguards, monitor threats, report incidents, and address data-handling risks or breaches.

Responsibilities

  • Own end-to-end delivery and realized outcomes for named customers, represent Artera credibly in customer conversations, and raise the quality of solutions shipped by the squad.
  • Identify customer pain points and create roadmaps to solve their problems.
  • Align stakeholders, connect necessary data pipelines, and manage customer onboarding onto solutions.
  • Build novel solutions for named customers by translating their operational needs into technical solutions, then architecting and coding them with internal agentic systems.
  • Instrument, monitor, and improve the reliability of shipped solutions; create enhancements based on production feedback; and participate in on-call duties where applicable.
  • Use AI-native tools, primarily through the command-line interface, across the role’s work.
  • Develop and maintain subject-matter expertise in customer segments such as primary care, community health, and orthopedics, and in integration areas such as scheduling, referrals, patient messaging, electronic health records, and contact center as a service.
  • Mentor and onboard newer builders and review their work to improve agentic techniques and customer orientation.
  • Contribute to squad-level prioritization and planning in partnership with the Head of Segment.
  • Complete ongoing training and adhere to compliance requirements.

Desired Qualifications

  • Prior experience in healthcare technology, digital health, or patient-facing products.
  • Hands-on experience building production agentic systems, retrieval-augmented generation pipelines, or Model Context Protocol-based tool integrations.
  • Familiarity with Health Insurance Portability and Accountability Act, Health Information Trust Alliance, or Federal Risk and Authorization Management Program compliance considerations in builds.
  • Experience with electronic health record integrations such as Epic, athena, eClinicalWorks, or NextGen, or call center/contact center as a service integrations.
  • Experience writing evaluations and quality benchmarks for large language model-driven systems.

About the Company

Artera

SaaS patient communications platform for healthcare

Artera provides a patient communication platform for healthcare providers that integrates with existing electronic health record (EHR) systems to streamline and unify patient messages. The product is offered as software-as-a-service (SaaS) and uses artificial intelligence to automate common patient interactions, such as appointment reminders, follow-up care instructions, and outreach, all accessible through a subscription. It differentiates itself by embedding AI-driven automation directly within EHR workflows and serving a broad base of healthcare organizations, including specialty groups, Federally Qualified Health Centers (FQHCs), and large integrated delivery networks (IDNs), with over 900 clients. The goal is to improve patient engagement and healthcare operations by delivering seamless, automated communications that fit into existing clinical processes.

Company size
201-500
Company stage
Series C
Total funding
$148.4M
Headquarters
Santa Barbara, CA
Founded
2015

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