Generative AI Developer – Healthcare AI Platform

Calliere Group • Franklin, TN

60d • Remote

About The Position

A rapidly growing healthcare technology company is seeking a Generative AI Developer to advance the capabilities of their cloud-based AI platform. This organization leverages artificial intelligence, machine learning, and data science to streamline decision-making and improve operational efficiency within clinical and revenue cycle workflows. The company’s award-winning solution is deployed across major hospitals and health plans, recognized for reducing friction and scaling critical processes throughout the care continuum. The Generative AI Developer will join a collaborative, cross-functional team under the guidance of leaders in data science, engineering, product management, and clinical operations. You will design and deploy advanced generative models to deliver impactful, real-world solutions for the automation of healthcare documentation, clinical summarization, and intelligent decision support.

Requirements

• Master’s degree in Computer Science, Data Science, Engineering, or a related field (PhD preferred).
• 3+ years of hands-on experience developing and deploying generative AI models (LLMs, transformers, GANs, VAEs) in Python using industry-standard ML frameworks.
• Proven track record in fine-tuning and evaluating large language models, applying NLP to unstructured data, and prompt engineering, ideally within healthcare, life sciences, or regulated industries.
• Strong skills in software engineering (Git), distributed/parallel computing, cloud-based ML deployment, and MLOps best practices.
• Familiarity with cloud platforms (AWS, GCP, Azure) and experience integrating machine learning solutions into scalable SaaS products.
• Deep understanding of healthcare data challenges, regulatory requirements, and a passion for solutions improving outcomes for clinicians and patients.
• Commitment to rigorous problem-solving, ethical AI development, and responsible innovation in high-stakes environments.

Responsibilities

• Build, refine, and productionize advanced generative AI models—including LLMs, GANs, VAEs, and transformers—tailored for healthcare data and workflows.
• Fine-tune large language models, design effective prompts, and use transfer learning to address specialized healthcare use cases, ensuring high performance and compliance standards.
• Work closely with data scientists, engineers, product managers, and clinical advisors to ideate, prototype, validate, and deploy generative AI features.
• Translate requirements from business and clinical stakeholders into robust technical solutions that drive automation, enhance decision support, and increase operational efficiency.
• Develop rigorous testing, validation, and monitoring frameworks for generative AI models to ensure quality, reliability, and real-world performance.
• Promote model interpretability and compliance within a responsible “human in the loop” operational framework, aligning with industry standards and ethical best practices.
• Conduct research on emergent techniques in generative AI and applied healthcare data science, sharing knowledge with colleagues and occasionally communicating advancements to industry audiences.
• Contribute to continuous improvements in the technical stack, integration pipelines, and deployment strategies working closely with engineering and DevOps.

What This Job Offers

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