AI Engineering Lead
Remote
TailorCare
TailorCare empowers patients to make the best treatment plans for their unique joint, back, and muscle pain.About TailorCare
TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By combining a careful assessment of patients’ symptoms, health histories, preferences, and goals with predictive data and latest evidence-based guidelines, we help patients choose—and navigate—the most effective treatment pathway for them, every step of the way.
TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with a hybrid office in Nashville.
About the Role
As an AI Engineering Lead you will be a key member of the Data Science team, helping to drive innovation and improving the experience of patients using cutting-edge tools and practices. You will tackle challenging roadmap items independently by collaborating with business stakeholders. You will also guide your peers by establishing AI/ML best practices for the team. Reporting to the Director, Data Science, the AI Engineering Lead will collaborate with stakeholders across the org to identify opportunities to deploy AI solutions to our clinical practices and patients assessments.
Primary Responsibilities:
- Serve as a specialist/SME on using AI to address complex technical and business issues.
- Help pioneer novel agentic solutions at TailorCare.
- Collaborate cross-functionally with stakeholders from engineering, business development, clinical and marketing to execute on our vision of data-centric care.
- Collaborate with software engineers, data scientists and data engineering on agent/algorithm / models / pipeline development.
- Align data products with business goals by identifying and championing new areas of opportunity and initiatives aimed at delivering value to patients and providers.
- Oversee the entire lifecycle of AI projects, including: scoping, design, modeling, validation, deployment.
- Mentor, coach, and train junior-level and senior-level data scientists and engineers
Minimum Qualifications
- Bachelor's Degree in relevant field (Preferably: Data Science, Healthcare Informatics, Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent related work experience
- Minimum seven years of experience working in a Data Science/ML Engineer role with a proven track record in building and deploying modern AI systems, including custom LLMs and other advanced AI techniques.
- Hands-on experience in building and deploying intelligent agents to streamline processes, clinical intake, and/or care customization is preferred.
- Extensive experience building and deploying ML models with Python (scikit-learn, Tensorflow/PyTorch)
- Experience transforming data for analysis, business intelligence/reporting, and/or modeling with Python(pandas/numpy), SQL, and/or PySpark/Scala
- Experience with building AI solutions in a healthcare setting using clinical data to build solutions is highly desirable
Desired Technical Qualifications
- Experience working in Databricks / data lake environment
Skills
- Strategic Thinker - Ability to understand and communicate on a broad array of technical and business issues
- Good Communication – Ability to succinctly communicate key insights with data
- Collaborative - Works cross-functionally with stakeholders from engineering, business development, clinical and marketing to develop innovative and effective solutions
- Engineering Mentality – Always thinking about common denominators across work and how to build a platform that facilitates fast model development and deployment
- Organized – Expert in serving as a technical lead in support of large, complex projects
- Leadership - Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management
- Intellectual Curiosity - Demonstrated initiative staying current on industry practice outside of study and training, with a high and broad level of industry knowledge
What's In It For You
- Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
- Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
- Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
- Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
- Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
- Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
- Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.
TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Databricks Economics Engineering LLMs Machine Learning Mathematics ML models NumPy Pandas PySpark Python PyTorch Scala Scikit-learn SQL Statistics TensorFlow
Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Medical leave Parental leave Startup environment Wellness
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