Founding Engineer

About Auryn:
The patient experience with medical procedures is dysfunctional and unnecessarily expensive, with 41% of U.S. adults in medical debt. Meanwhile, healthcare is the employer’s biggest expense after payroll, climbing faster than wages.

Auryn lowers medical costs for the patient and employer. Actively, it pays patients and takes optimal actions for them, cutting procedure costs and doing what no patient wants to deal with. Passively, it uses the same stack to defend employer’s providing their insurance.

Team Description:
The team at Auryn is developing the next generation of medical navigation focused on financial recovery. We are laying the groundwork to deliver exceptional value to patients and employers to reduce overcharging for the cost of care. We are an early-stage 4-person Cornell, Yale, and Carnegie Mellon startup with a functional MVP and 12+ years combined in venture experience.

Who We Are Looking For:
We’re looking for a technical hire interested in a fast-paced environment and opportunities for direct mentorship. The role is open as a Founding Engineer, with compensation and scope calibrated to your experience. This presents an opportunity to take ownership, build innovative products, and make a positive impact on patient healthcare.

In this role, you’ll work under the Lead Software Engineer and contribute across a wide range of products, from scaling massive data pipelines, implementing analytics systems, building a seamless customer interaction system, and filing disputes. Successful candidates will be excellent systems thinkers, data competent, curious about healthcare, adaptable, and able to deploy their core technical and creative skills to tackle a wide range of problems.

Job Description:

• Design and maintain multi-step LLM agent pipelines that take real, auditable actions on behalf of patients
• Architect and maintain data pipelines that ingest, normalize, and query large-scale healthcare data including provider directories, negotiated rates, and claims records
• Translate real-world situations and healthcare data into system improvements
• Implement access controls, audit trails, and data handling practices for PHI-adjacent workflows
• Build verification and eval frameworks to validate agent output before it reaches patients or payers.
• Design and document failure modes - systems that escalate correctly, fail safely, and leave a clear record

Required Qualifications:

• Evidence of exceptional ability in software engineering or AI systems
• Strong backend fundamentals – Node.js/TypeScript, Python, SQL
• Experience with React.

Preferred Qualifications:

• Large-scale data pipeline experience (ingestion, transformation, validation)
• Familiarity with healthcare data formats (HL7 FHIR resources, X12 837/835 claims)
• Agent orchestration experience (hand-rolled preferred, LangChain or similar a plus)
• Experience in healthcare, legal AI, or other audit-critical domains
• Security fundamentals (access control, audit logging, PHI)
• AWS infrastructure (EC2, S3)
• Understanding of feedback loops with data

Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. In addition to base salary, Auryn offers equity compensation for all full-time employees.

Base Salary Range: $120,000 USD - $200,000 USD Equity Range: 0.5% - 2.0%

Location:
NYC of remote. Willingness to relocate to NYC long-term is preferred.