Job Details

Generative AI Developer

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.

Responsibilities

• Model Development & Deployment

  • Build, refine, and productionize advanced generative AI modelsincluding LLMs, GANs, VAEs, and transformerstailored 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.

• Team Collaboration

  • 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.

• Operational Excellence

  • 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.

• Innovation & Knowledge Sharing

  • 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.

Required Qualifications

• 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.