Senior Software Engineer (Applied AI)

Location: Remote within the United States. The role includes an occasional on-site visit to the corporate office. Applicants must already be authorized to work in the United States without employer immigration support or sponsorship.

Salary: $165K–$205K base annually, plus bonus eligibility.

Company

hirify.global is a Public Benefit Corporation using data and technology to improve pharmacy benefits management, patient outcomes, and healthcare costs.

What you will do

• Build and extend LLM-backed capabilities on AWS Bedrock for clinical, claims, client success, and member-experience workflows.
• Develop document OCR and extraction, summarization, clinical decision support, retrieval over plan and policy documents, and internal workflow automation.
• Design and maintain evaluations for AI features, addressing quality drift, structured output, failure modes, cost, and latency.
• Design, build, test, and ship Python and FastAPI features across AWS, MySQL, Jinja2, Tailwind, and Alpine.js.
• Integrate eligibility, accumulator, and claims data with carriers and pharmacies using NCPDP D.0, X12 270/271, SFTP, and file-based formats.
• Establish test and lint gates, maintain CI, and treat PHI handling as a core design constraint.

Requirements

• 7+ years of production software engineering experience with ownership of systems used by others.
• Strong Python, production FastAPI or comparable asynchronous framework experience, SQL with MySQL or Postgres, and working AWS knowledge.
• Experience with server-rendered front ends such as Jinja2, Tailwind, Alpine.js, or htmx; React specialization is not required.
• Fluency in Linux and comfort using a Windows workstation to access a secure Linux development environment through remote desktop.
• Daily use of AI coding tools and at least one LLM-powered feature shipped to real users, including evaluation experience.
• Practical knowledge of prompt and context engineering, retrieval, embeddings, structured output, healthcare data exchange standards, reconciliation, and regulated data handling.

Nice to have

• Healthcare or regulated-data experience, including HIPAA, PHI, or SOC 2.
• Pharmacy benefits, claims, or clinical program experience.
• Experience self-hosting open-source models with vLLM, Ollama, or TGI, including GPU sizing, quantization, and private-network serving.
• Fine-tuning, adapter training, classical ML, or production model monitoring experience.
• Master’s degree in computer science or a related field.

Culture & Benefits

• Autonomous, collaborative environment with limited micromanagement.
• Managed Linux development environment accessed remotely from a Windows endpoint; PHI does not reside on personal laptops.
• Medical, pharmacy, dental, vision, and life insurance.
• 401(k) with company match, paid time off, and stock options.
• Opportunity to work on healthcare technology intended to improve patient care and reduce costs.

Hiring process

• HR phone screen followed by a technical interview with a short practical exercise involving messy documents and AI evaluations.
• Conversation with the Head of Engineering and final discussions with supported business leaders.
• Interviews may take place by phone, video, and in person, including an on-site corporate-office visit.