Generative AI Developer – Healthcare AI Platform
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
18 days ago
Vacancies:
1 Vacancy
Job Summary
This is a remote position.
Overview
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 companys 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.
Requirements
Required Qualifications
Masters 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.
Required Skills:
Gen AI
Company Industry
IT Services and IT Consulting
Key Skills
- Revenue Cycle Management
- HIPAA
- Healthcare Management
- PMBOK
- Microsoft Outlook
- Project Leadership
- Data Management
- Project Management
- Affiliate Marketing
- Project Management Software
- Supervising Experience
- Workday
