Senior Ai Engineer

Summary

Join Arine, a rapidly growing healthcare technology company, as a Senior AI Engineer. You will play a crucial role in designing, building, and deploying AI-powered solutions to enhance clinician efficiency and patient outcomes. This involves developing and integrating AI-driven automation, leveraging LLMs and predictive models, and collaborating with cross-functional teams. The ideal candidate possesses 5+ years of experience in AI/ML engineering, strong software engineering skills, and expertise in predictive modeling and LLM integration. Arine offers a dynamic role with unparalleled learning and growth opportunities, contributing to a company revolutionizing healthcare.

Requirements

• AI/ML Engineer with a strong product mindset: 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 and 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
• Ability to pass a background check
• Must live in and be eligible to work in the United States

Responsibilities

• Develop AI-powered automation and intelligence: design and deploy AI solutions that enhance clinician efficiency, optimize interventions, and scale personalized medication management
• Leverage LLMs and predictive models: integrate both prebuilt LLMs and custom machine learning models to generate insights, automate routine workflows, and improve decision-making
• Ship AI-powered products: work closely with product and engineering teams to build scalable, production-ready AI features that seamlessly integrate into clinical workflows
• Optimize AI-driven interventions: improve task prioritization, patient outreach, and adherence interventions through data-driven intelligence
• Collaborate across teams: partner with ML engineers, data scientists, clinicians, and product managers to align AI development with business and clinical needs
• Own technical execution: establish best practices for model deployment, monitoring, and iteration, ensuring reliability, efficiency, and continuous learning

Preferred Qualifications

Bonus: Experience in healthcare

Benefits

• Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future
• You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs
• The salary range for this position is: $180,000-200,000/year