TL;DR
Staff Software Engineer (AI): Developing a large-scale AI-driven healthcare data platform with an accent on LLM/NLU systems for processing clinical notes and medical records. Focus on building scalable data pipelines, optimizing model reliability, and integrating AI capabilities into the core platform to improve healthcare decision-making.
Location: Must be based in or able to commute to San Francisco (Hybrid, 2-3 days/week in office)
Salary: $180,000–$250,000
Company
hirify.global is a seed-stage healthcare technology company building an AI-driven platform to reduce waste and improve the quality of care in the U.S. healthcare system.
What you will do
- Develop and deploy LLM/NLU systems to extract information from medical documents and classify patients.
- Establish best practices for AI reliability, evaluation frameworks, and model governance.
- Build and scale efficient data pipelines while adhering to strict privacy standards.
- Collaborate with backend engineers to integrate complex AI features into the production platform.
- Design explainable AI solutions to provide transparency for healthcare professionals.
Requirements
- Must be able to work on-site in San Francisco 2-3 days per week.
- 5+ years of experience in backend or data engineering in production environments.
- Proven experience developing LLM-based systems for unstructured record ingestion and evaluation.
- Deep understanding of LLM limitations and best practices for reliable, consistent outputs.
- Ability to work as a generalist across backend, data, and AI infrastructure.
Nice to have
- Experience working with medical records and healthcare compliance (HIPAA).
- Hands-on experience with Python-based data science and ML libraries.
- Knowledge of modern MLOps and AI infrastructure scaling.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance.
- 401(k) retirement plan with employer contributions.
- Significant equity ownership in a high-growth startup.
- Unlimited vacation policy and paid parental leave.
- Flexible hybrid work environment and pre-tax commuter benefits.
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