Build intelligence that gives care teams more capacity.
Corefinery brings strategy, technology and engineering together to build products, intelligent workflows and businesses. We are developing a healthcare AI platform that helps teams coordinate resources, improve scheduling and create a more responsive patient journey.
Our MVP focuses on:
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Capacity coordination across locations
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Daily schedule optimization
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Staffing recommendations
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Appointment fill optimization
The opportunity
We are seeking a Senior AI Engineer / Founding Engineer to design, build and launch the MVP. This is a hands-on role for someone who enjoys taking products from concept to production, working closely with customers and owning technical outcomes.
Experience developing HIPAA-aligned healthcare applications or integrating with clinical systems is highly valued.
This role is remote and requires travel for customer engagements, onsite implementation and team collaboration. The work arrangement and travel requirements may change as business and customer needs evolve, subject to applicable law and reasonable accommodation obligations.
What you’ll do
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Build AI-powered scheduling and capacity optimization solutions.
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Develop recommendation engines and predictive models.
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Design agentic workflows and retrieval-augmented generation (RAG) systems.
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Connect AI workflows with operational data to deliver useful intelligence in production.
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Create APIs and cloud-native services.
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Build reliable data pipelines and integrations with electronic health records (EHR), practice management and clinical scheduling systems.
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Implement privacy, access controls, audit logging and secure data handling practices that support HIPAA requirements.
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Work with clinical and business stakeholders to translate operational needs into useful product features.
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Build recommendations with clear explanations and human review and approval.
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Apply engineering best practices for testing, evaluation, deployment, monitoring and documentation.
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Turn customer implementations into repeatable solutions, reusable components and proprietary solution IP.
What you bring
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5+ years of software engineering experience.
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3+ years building AI/ML products.
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Strong Python development skills.
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Experience with LLMs and AI frameworks.
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Experience with cloud platforms; Azure preferred.
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Experience building APIs, databases and production systems.
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Experience with HIPAA requirements, secure handling of protected health information (PHI), or healthcare clinical systems.
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Ability to move quickly from customer needs to reliable production solutions.
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Strong communication skills and the ability to collaborate with technical, clinical and business stakeholders.
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Ability to work effectively remotely and travel as required, with reasonable accommodations where applicable.
Helpful experience
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Healthcare or dental technology, including EHR and practice management systems.
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Clinical workflows such as patient scheduling, referrals, staffing and capacity planning.
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Healthcare integrations using FHIR, HL7 or vendor-specific APIs.
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Systems such as Denticon, Open Dental, Curve Dental or comparable platforms.
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Startup environments or founding engineer roles.
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Scheduling, optimization or operations software.
Technology stack
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Application development: Python, FastAPI, TypeScript
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AI platforms: Azure OpenAI, OpenAI, Anthropic
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AI orchestration: LangGraph, LangChain, Semantic Kernel
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Data: PostgreSQL and vector databases
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Infrastructure: Azure cloud services
What success looks like
Deliver customer value quickly by connecting AI workflows with data intelligence in production. Turn successful implementations into repeatable solutions and reusable intellectual property, while applying industry best practices for security, privacy, reliability and responsible AI.
Target outcomes include:
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Faster time to customer value and measurable pilot ROI
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Improved provider utilization and filled appointment capacity
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Secure, reliable integrations with clinical systems
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Production-ready recommendations with clear human oversight
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Reusable components and solution IP that accelerate future deployments
Why join Corefinery
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Take a foundational role with meaningful responsibility and ownership of technical outcomes.
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Shape the product, architecture and engineering practices.
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Work directly with customers and see the impact of your work.
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Build meaningful healthcare AI solutions with a multidisciplinary team.
Equal opportunity
Corefinery is an equal opportunity employer. We make employment decisions based on job-related qualifications, skills and business needs, without unlawful discrimination based on race, color, religion, creed, sex, pregnancy or related conditions, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship or immigration status, or any other status protected by applicable law.
We are committed to a workplace free from unlawful discrimination, harassment and retaliation.
Reasonable accommodations
Corefinery provides reasonable accommodations for qualified applicants and employees with disabilities and for religious practices and pregnancy-related limitations, as required by applicable law.
To request an accommodation during the application or interview process, contact people@corefinery.com. Please describe the assistance you need; you do not need to include a medical diagnosis in your initial request.
Employment eligibility
For U.S.-based employment, the selected candidate must complete employment eligibility verification as required by law. Corefinery does not impose citizenship restrictions unless legally required.
Apply
Send your résumé or LinkedIn profile and examples of relevant work to people@corefinery.com.
Please include your location, availability and a brief description of a product you helped take into production. Highlight any experience with HIPAA, healthcare data or clinical system integrations.
Share only work you are authorized to disclose. Do not include patient information, confidential customer data or proprietary materials belonging to another organization.