Description:We are seeking a highly motivated GenAI ML Engineer with a foundation in Computer Engineering and 2-4 years of experience in building Generative AI applications. The ideal candidate should have exposure to healthcare data, Medicare Advantage standards (CMS), and a strong understanding of modern engineering processes including Agile methodologies, Jira, and Confluence. Familiarity with Google Cloud Platform (GCP), Vertex AI, Gemini models, and agentic AI frameworks is a strong plus.
What You Will Do:
- Develop and deploy GenAI models on GCP (Vertex AI) for healthcare applications.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge bases.
- Build and maintain agentic frameworks to allow autonomous and task-driven AI behaviors.
- Customize foundation models (e.g., Gemini, PaLM) to healthcare-specific use cases.
- Perform advanced prompt engineering, including prompt tuning, few-shot, and chain-of-thought techniques, to optimize LLM performance.
- Collaborate with healthcare domain experts to align models with CMS and Medicare Advantage requirements.
- Participate in Agile ceremonies and maintain documentation in Confluence.
- Ensure compliance with HIPAA and CMS standards for healthcare data handling.
You Will Be Successful If:
- Self-motivated, proactive, and capable of thriving in a fast-paced, agile startup environment with minimal supervision.
- Demonstrates strong ownership of tasks and deliverables, acting as a task master.
- Eager self-learner who stays current with emerging technologies and industry trends.
- Excellent communication skills, both written and verbal, to effectively collaborate across multidisciplinary teams.
What You Will Bring:
- Bachelor's degree in Computer Engineering or equivalent.
- 2+ years of experience in GenAI/ML engineering.
- Strong programming skills in Python and experience with GenAI libraries (e.g., HuggingFace, LangChain, OpenAI APIs).
- Hands-on experience with RAG architectures, agentic AI systems, and model fine-tuning/customization.
- Familiarity with GCP services like Vertex AI, BigQuery.
- Strong expertise in prompt engineering strategies for maximizing LLM performance.
- Understanding of Agile processes and tools like Jira and Confluence.
- Healthcare and Medicare Advantage domain experience.