Senior AI Engineer

Overview

We are seeking a highly experienced Senior AI Engineer to own the development and evolution of two foundational components of our clinical AI platform: the clinical NLP integration layer that connects existing coding infrastructure with the AI pipeline, and the golden dataset pipeline that establishes trusted evaluation standards across the program. In this role, you will design and implement scalable data and AI workflows that enable accurate, measurable, and explainable clinical AI solutions within a regulated environment.

You will apply deep expertise in clinical language processing, healthcare data workflows, and machine learning evaluation methodologies to build annotation pipelines, develop scientifically rigorous ground truth datasets, and train high-performing classifiers across complex clinical documentation scenarios. This role involves a strong understanding of MEAT (Monitoring, Evaluation, Assessment, and Treatment) evidence within real-world clinical notes, as well as the ability to address challenges associated with sparse, skewed, and evolving label distributions. Working closely with the CDI (Clinical Document Improvement) Lead, Data Scientists, MLOps Engineers, and AI platform teams, you will co-own the golden dataset strategy, establish evaluation frameworks, and ensure the reliability, scalability, and clinical validity of AI-driven coding solutions.

Responsibilities: * Implement and maintain components of agentic AI framework under the guidance of senior engineers. * Leverage open-source AI frameworks (e.g., LangChain, CrewAI, AutoGen) to build and experiment with agents for diverse use cases. * Incorporate selected open-source solution into our agentic AI framework. * Collaborate with product engineers to integrate AI agents into customer-facing applications and internal tools. * Write clean, maintainable Python code for AI workflows, APIs, and data integration tasks. * Assist in testing, debugging, and improving per