Principal AI Engineer

ASSISTRX LLC • Maitland, FL

2d • Onsite

About The Position

AssistRx is seeking a Principal AI Engineer to lead the architecture, engineering, and production deployment of advanced AI and machine learning (ML) systems that power strategic decision-making and patient engagement across the organization. This role requires a unique blend of hands-on technical depth and engineering leadership, as the Principal AI Engineer will guide the team through the complete lifecycle of AI systems — from architecture and prototyping through product ionization, scaling, and ongoing operation.

Requirements

• 10+ years of proven experience in AI/ML engineering, software engineering, or related disciplines, with a strong portfolio of production AI systems.
• Excellent programming skills in languages such as Python and SQL, and experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Hands-on experience building and deploying LLM-based applications, including RAG and agentic architectures.
• Strong understanding of data infrastructure, cloud computing, MLOps, and ML pipeline automation.
• Exceptional problem-solving skills with the ability to communicate complex ideas to both technical and non-technical stakeholders.
• Leadership experience, particularly in mentoring and developing engineering talent.
• Experience with healthcare data and associated compliance/regulatory considerations.
• Technical Capacity.

Nice To Haves

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, or a related field, or equivalent practical experience. A Master’s degree is highly valued; however, exemplary candidates without an advanced degree may also be considered based on their relevant skills and experience.

Responsibilities

• Architect and Implement AI Systems: Design and build production-grade AI/ML and Generative AI (GenAI) systems, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and agentic workflows, that effectively address business challenges and improve patient outcomes.
• Infrastructure Coordination: Work closely with the IT department to establish and enhance the technology infrastructure and stack required to support and scale AI initiatives, including model-serving, CI/CD, and observability tooling.
• Cross-Functional Collaboration: Partner with engineering, product, data science, and business teams to ensure alignment of AI engineering projects with broader organizational goals and objectives.
• MLOps and Product ionization: Establish and maintain best practices for model deployment, versioning, monitoring, and performance optimization to ensure AI systems are secure, reliable, and cost-efficient at scale.
• Mentorship and Team Leadership: Provide guidance and mentorship to engineers and data scientists, fostering an environment of innovation, continuous learning, and technical excellence within the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal