Senior AI Engineer

Location: Remote within the United States; required to attend on-site meetings multiple times per year, including potentially during interviews, onboarding, and team meetings. Must live in and be eligible to work in the United States.

Salary: $170,000–$190,000/year.

Company

hirify.global is a San Francisco-based healthcare technology and clinical services startup developing a SaaS platform for medication management, combining data science, machine learning, AI, and clinical expertise to improve patient outcomes and reduce healthcare costs.

What you will do

• Architect and deploy scalable AI-powered automation and intelligence for clinical efficiency, care interventions, and personalized medication management.
• Integrate prebuilt LLMs and custom predictive models to extract insights, automate workflows, and support clinical decision-making.
• Build, extend, and ship production-ready AI products and shared frameworks integrated into clinical workflows.
• Optimize task prioritization, patient outreach, and medication adherence programs using data-driven intelligence.
• Collaborate with machine learning engineers, data scientists, clinicians, product managers, and engineering teams.
• Establish model deployment, performance monitoring, reliability, scalability, and continuous iteration practices.

Requirements

• 5+ years of experience developing and shipping AI-driven applications, including 5+ years in applied machine learning and AI engineering.
• Hands-on experience integrating LLMs and predictive models into real-world production products and systems.
• Strong software engineering skills with clean, scalable Python and experience with PyTorch or TensorFlow.
• Strong experience with AWS ML services and cloud-based infrastructure.
• Experience building and deploying LLMs, NLP models, predictive systems, intelligent recommendations, or AI-driven automation.
• Experience with modern NLP techniques such as few-shot prompting, retrieval-augmented generation (RAG), or text-based machine learning, including evaluating trade-offs between approaches.
• Strong data intuition: ability to explore, analyze, and validate insights before deploying models.
• Ability to work autonomously and collaboratively with clinicians, engineers, data scientists, and product teams.
• Ability to pass a background check and maintain a secure working environment in accordance with information security and HIPAA policies.

Nice to have

• Healthcare experience.

Culture & Benefits

• Remote work with an established private work area and reliable low-latency internet suitable for video and voice calls.
• On-site meetings are required multiple times per year.
• Learning and growth opportunities through collaboration with clinicians, engineers, software architects, and digital health entrepreneurs.
• Information security awareness and HIPAA training are required before access is granted and periodically thereafter.
• Full-time salaried employment with additional benefits and compensation components potentially available beyond the posted salary range.