deployed_

Senior AI Engineer

Arine - Remote (San Francisco, California, US)

Still listed by Arine · checked today

RemoteSeniorFull-timeEngineeringML / AI

Skills: Python, PyTorch, Tensorflow, AWS, Llms, NLP, RAG, Predictive modeling, Machine learning

No account needed. About a minute.

The Role:

Arine is expanding its AI-driven automation and intelligence to scale clinical impact, improve medication adherence, and optimize interventions at scale. As a Senior AI Engineer, you will play a key role in designing, building, and deploying AI-powered solutions that enhance clinician efficiency and patient outcomes.

This role goes beyond building ML models—you will develop and integrate AI-driven automation, insights, and recommendations into real-world clinical workflows. You will work with large-scale healthcare data, leverage prebuilt LLMs, and build custom predictive models, and collaborate closely with engineers, data scientists, and clinicians to deliver high-impact AI solutions.

What You’ll be Doing:

  • 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.

Who You Are and What You Bring:

  • 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.

Remote Work Requirements:

  • An established private work area that ensures information privacy
  • Reliable internet capable of low latency with the ability to carry video and voice calls without breaking up
  • This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be during the interview process, onboarding, and for team meetings

Perks:

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 posted range represents the expected salary for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $170,000-190,000/year.

Job Requirements:

  • Ability to pass a background check
  • Must live in and be eligible to work in the United States

Information Security Roles and Responsibilities:

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.

Check our website at https://www.arine.io. This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry!

__Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission.

__For security purposes, official communications from Arine will only come from @arine.io email addresses or through our authorized platforms, including Rippling, TurboCheck, Jobma, and Checkr. If you receive a message claiming to be from Arine through another source, or if you have concerns about its authenticity, please contact us before sharing personal information or taking any action. We will never request payment or sensitive personal information (copy of government-issued ID, social security number, bank details, etc.) during the recruiting process.

__Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.

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