GenAI ML Senior Engineer
GenAI ML Senior Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a seasoned GenAI ML Senior Engineer to lead the development of nextgeneration AI solutions tailored for the healthcare and Medicare Advantage sectors. The ideal candidate brings handson expertise in Vertex AI RAG architectures agentic AI frameworks and advanced LLM customization techniques along with a deep understanding of CMS and HIPAA compliance. This is a strategic highimpact role suited for an engineer who thrives at the intersection of innovation healthcare and scalable ML deployments.
Key Responsibilities:
Architect and deploy scalable GenAI solutions on Google Cloud Platform (GCP) using Vertex AI BigQuery and cloudnative tools
Design and implement RetrievalAugmented Generation (RAG) pipelines and agentic AI systems
Finetune and customize large language models (LLMs) such as Gemini with domain adaptation to healthcare workflows and CMS requirements
Lead and execute prompt engineering strategies including LoRA PEFT and chainofthought prompting
Experiment with and implement taskdriven AI agents capable of interacting with APIs databases and clinical systems
Collaborate with product data and clinical teams to align AI solutions with compliance and quality standards
Mentor junior engineers and guide responsible AI design documentation and deployment practices
Drive Agile sprints manage technical documentation in Confluence and track progress in Jira
Youll Succeed in This Role If You Are:
A proactive leader who takes initiative and full ownership of complex deliverables
Detailoriented with a strong engineering mindset and a passion for healthcare innovation
An effective communicator who can work crossfunctionally across product engineering and clinical teams
Continuously learning and eager to explore emerging GenAI tools and frameworks
Qualifications:
Bachelors or Masters degree in Computer Engineering Artificial Intelligence Machine Learning or a related technical field
5 years of experience in machine learning or GenAI including 2 years in healthcarerelated projects
Deep experience with RAG architectures agentic AI frameworks and LLM customization
Handson with Google Cloud (Vertex AI BigQuery Cloud Functions) and modern GenAI platforms
Proven track record in applying advanced prompt engineering and LLM optimization techniques
Proficient in Agile methodologies and tools such as Jira and Confluence
Strong understanding of CMS regulations HIPAA and healthcare data privacy best practices
Required Experience:
Senior IC
Employment Type
Full-Time
