Senior AI Engineer

Arine • San Francisco, CA

5d • $170,000 - $190,000 • Remote

About The Position

Arine is expanding its AI-driven automation and intelligence to scale clinical impact, improve medication adherence, and optimize interventions. The Senior AI Engineer designs, builds, and deploys AI-powered solutions that enhance clinician efficiency and patient outcomes. The role involves developing and integrating AI-driven automation, insights, and recommendations into real-world clinical workflows; working with large-scale healthcare data, prebuilt LLMs, and custom predictive models; and collaborating with engineers, data scientists, clinicians, and product teams to deliver high-impact AI solutions.

The position is remote, with attendance required at onsite meetings multiple times per year, including potentially during interviews, onboarding, and team meetings. The employee must have a private work area that protects information privacy and reliable internet suitable for uninterrupted video and voice calls. Staff participate in Arine’s Information Security Management Program, complete periodic Information Security Awareness and HIPAA training, and maintain a secure working environment in accordance with company policies and procedures.

Requirements

• At least 5 years of experience developing and shipping AI-driven applications and integrating LLMs and predictive models into real-world products.
• At least 5 years of experience in applied machine learning and AI engineering.
• Strong Python software-engineering skills and experience with PyTorch or TensorFlow.
• Strong experience with AWS ML services and cloud-based infrastructure.
• Expertise in predictive modeling, AI-driven recommendations, or intelligent automation.
• Experience with LLMs and with integrating machine-learning models into production systems.
• Experience building and deploying LLMs, NLP models, or predictive systems for automation, recommendations, or workflow optimization.
• Experience with modern NLP techniques such as few-shot prompting, retrieval-augmented generation (RAG), or text-based machine-learning models, including evaluating trade-offs between approaches.
• Strong data intuition, including the ability to explore, analyze, and validate insights before deploying models.
• Ability to work collaboratively with clinicians, engineers, and product teams, and to take initiative in identifying scalable AI opportunities.
• Ability to pass a background check.
• Must live in and be eligible to work in the United States.
• Must maintain an established private work area that ensures information privacy and reliable internet capable of supporting uninterrupted video and voice calls.
• Must attend onsite meetings multiple times per year.

Nice To Haves

• Experience in healthcare.

Responsibilities

• Architect and deploy scalable AI solutions that improve clinical efficiency, optimize care interventions, and support personalized medication management.
• Integrate LLMs and custom machine-learning models to extract insights, automate routine workflows, and support clinical decision-making.
• Contribute to, extend, and build shared systems and scalable frameworks, delivering production-ready AI features into clinical workflows in collaboration with engineering and product teams.
• Improve task prioritization, patient outreach strategies, and medication adherence programs using data-driven intelligence.
• Partner with machine-learning engineers, data scientists, clinicians, and product managers to align technical delivery with healthcare goals.
• Establish practices for model deployment, performance monitoring, and continuous iteration to ensure reliability and scalability.
• Explore, analyze, and validate data-driven insights before deploying models.
• Participate in information-security training and follow security policies and procedures.

Benefits

• Learning and growth opportunities.
• Opportunity to collaborate with experienced clinicians, engineers, software architects, and digital health entrepreneurs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed