Suki AI

Machine Learning Engineer III (NLP) at Suki AI, a healthcare technology company using generative AI for clinical documentation. The role focuses on enhancing NLP capabilities, managing datasets, optimizing ML infrastructure, and deploying state-of-the-art deep neural network models, including LLMs, RAG, and evaluation frameworks. The goal is to reduce administrative burdens for clinicians.

Software Architect role focused on maintaining architectural coherence for an AI voice solution in healthcare, specifically Suki Assistant. The role involves owning the load-bearing substrate, driving structural decomposition, bridging AI research and production infrastructure, and mentoring engineers. Key responsibilities include managing ML inference, GPU fleet operations, agentic framework direction, and ensuring system resilience at scale.

Staff Machine Learning Engineer at Suki AI, focused on enhancing NLP capabilities for Suki Assistant and Suki Platform. The role involves leveraging expertise in LLMs, RAG, and evaluation frameworks to improve computational infrastructure, manage datasets, and optimize system performance for real-time clinical documentation automation. Requires end-to-end ownership of AI systems in production and experience building distributed backend services for ML/AI applications.

Senior Software Engineer to build and maintain LLM-powered microservices for healthcare AI applications, focusing on EMR integration and advancing the company's Ambient Clinical Intelligence platform. Requires strong backend, distributed systems, and LLM experience.