[Remote] Senior AI Engineer

Note: The job is a remote job and is open to candidates in USA. Arine is a healthcare technology and clinical services company focused on medication management. The Senior AI Engineer designs, builds, and deploys AI-powered solutions that improve clinician efficiency and patient outcomes, integrating LLMs and predictive models into clinical workflows.

Responsibilities

• Develop AI-powered automation and intelligence – Architect and deploy scalable AI solutions that enhance clinical efficiency, optimize care interventions, and drive personalized medication management
• Leverage LLMs and predictive models – Integrate state-of-the-art LLMs and custom machine learning models to extract insights, automate routine workflows, and elevate clinical decision-making
• Ship end-to-end AI products & frameworks – Collaborate closely with engineering and product teams to contribute to, extend, and build upon shared systems and scalable frameworks, delivering production-ready AI features into clinical workflows alongside fellow engineers
• Optimize AI-driven interventions – Enhance task prioritization, patient outreach strategies, and medication adherence programs using data-driven intelligence
• Collaborate cross-functionally – Partner with machine learning engineers, data scientists, clinicians, and product managers to align technical delivery with strategic healthcare goals
• Drive technical excellence – Establish robust practices for model deployment, performance monitoring, and continuous iteration to ensure high reliability and scalability
• All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine

Skills

• You have 5+ years of experience developing and shipping AI-driven applications, with hands-on experience integrating LLMs and predictive models into real-world products
• Strong software engineering skills – You write clean, scalable Python code and are comfortable working with ML frameworks (e.g., TensorFlow, PyTorch) and cloud-based infrastructure (AWS preferred)
• Proven experience with AI-driven automation – You've built and deployed LLMs, NLP models, or predictive systems to power automation, intelligent recommendations, or workflow optimization
• Comfortable with modern NLP techniques – You have experience with few-shot prompting, retrieval-augmented generation (RAG), or text-based ML models and can evaluate trade-offs between different approaches
• Data-driven and pragmatic – You balance ML complexity with real-world usability
• Collaborative and mission-driven – You thrive in cross-functional environments, working with clinicians, engineers, and product teams to turn AI into meaningful, real-world solutions
• Autonomous and product-focused – You take initiative, explore real-world data, and proactively identify opportunities to apply AI in scalable, impactful ways
• Passionate about improving healthcare – You're excited about building AI that enhances patient outcomes
• 5+ years of experience in applied machine learning & AI engineering
• Expertise in predictive modeling, AI-driven recommendations, or intelligent automation
• Experience working with LLMs
• Strong experience with Python, PyTorch/TensorFlow, and AWS ML services
• Experience integrating ML models into production systems
• Strong data intuition – you explore, analyze, and validate insights before deploying models
• Bonus: Experience in healthcare
• Must live in and be eligible to work in the United States

Benefits

• Remote role; required to come to on-site meetings multiple times per year, which may be during the interview process, onboarding, and team meetings
• Unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

Company Overview

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