Senior AI/ML Engineer

About this role

OUR IDEAL CANDIDATE
We are looking for a Senior AI/ML Engineer who wants to leverage cutting-edge Artificial Intelligence, including Generative AI, LLMs, and modern Agentic frameworks—to fix a broken healthcare system. The ideal candidate possesses a strong foundation in production machine learning, deep experience with cloud-native GenAI architectures (specifically on AWS), and a proven track record of working with sensitive healthcare data. You thrive in a high-impact, collaborative environment where you will design and deploy scalable AI-driven solutions that automate complex billing workflows, detect fraud, extract insights from unstructured claims, and power our next generation of AI products.

RESPONSIBILITIES

• Design, build, and orchestrate Machine Learning, GenAI, and Agentic AI applications leveraging foundational models (via AWS Bedrock, SageMaker) for automated billing, cost prediction, and document intelligence.
• Design and build production-grade scalable Machine Learning (ML) pipelines integrating Object Character Recognition (OCR), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and agentic decision-making workflows to process complex medical claims and unstructured data.
• Establish end-to-end MLOps standards, automated model testing, and robust CI/CD pipelines for automated build, test, and release cycles of both ML models and AI services.
• Define, provision, and maintain secure cloud environments for AI/ML services using Infrastructure as Code (IaC) tools such as AWS CDK or Terraform.
• Develop APIs and microservices to enable seamless integration of ML/AI models into existing business applications.
• Collaborate with cross-functional teams (product, technology, operations, etc.) to align AI solutions with business goals.
• Implement techniques to improve transparency in AI decision-making, ensuring traceability and model explainability.
• Ensure compliance with healthcare data regulations (e.g., HIPAA, HITRUST...