Applied AI Engineer
Alphatec SpineCarlsbad, California, United States
Posted February 12, 2026
110000 - 125000 USD
Full Time
About the Company
ATEC is a medical device company dedicated to revolutionizing the approach to spine surgery through innovation. ATEC’s Organic Innovation Machine™ is the greatest concentration of spine knowhow in the industry and committed to the creation of clinical distinction. Leveraging 100% spine focus and expertise, we seek to improve spine surgery by rethinking, redesigning and seamlessly integrating the technologies required from the ground up. The innovation that results from that process is being rapidly adopted because, like us, spine surgeons covet informatic and procedural sophistication that enables more predictable, more reproducible care. Our flagship technology, the Prone TransPsoas (PTP™) Procedure, leveraged decades of experience to advance first-generation lateral surgery with a more familiar patient position and elevated neuromonitoring. EOS imaging, the backbone of ATEC’s informatic ecosystem, provides radiographic imaging, enabling standing, full-body, global alignment assessments. We are further developing EOS technology to elevate spine care with unprecedented capabilities. Our vision is to be the standard bearer in spine. Visit our website for more information: www.atecspine.com
Job Description
We are seeking a motivated and innovative Applied AI Engineer to join our team. This role focuses on designing and developing enterprise AI solutions powered by Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG)-based information extraction applications and intelligent workflow automation systems.
Requirements
- Design, develop, and deploy LLM-based AI applications.
- Build and optimize RAG-based information extraction and agentic AI applications.
- Develop backend services and APIs to support AI-driven applications.
- Implement web-based interfaces for AI applications.
- Work closely with stakeholders to gather user requirements and translate business needs into technical solutions.
- Fine-tune prompts, optimize LLM workflows, and evaluate model performance.
- Integrate AI solutions with enterprise systems and databases.
- Collaborate with cross-functional teams including product, engineering, and business users.
- Document system architecture, workflows, and technical decisions.
