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.

Senior Engineering Manager for AI Engineering at Suki AI, a health-tech company focused on Ambient Clinical Intelligence. The role involves leading ML and Backend Engineers to develop AI-native products using speech recognition and generative AI. Responsibilities span the ML data pipeline, model/agent development, and services for inference, summarization, classification, and transformation. Requires expertise in NLP, ASR, LLMs, agentic architectures, RAG, and deploying high-concurrency, model-backed microservices.

Staff Engineer (Backend) at Suki AI, a healthcare technology company specializing in AI voice solutions. The role focuses on leading the technical strategy and architecture for Suki's backend, data, and ML inference platforms. Responsibilities include designing scalable systems for microservices, ML infrastructure, real-time inference APIs, training pipelines, and GPU orchestration. The position bridges AI/ML research and backend engineering, focusing on productionizing models, driving MLOps best practices, and optimizing ML workloads for performance and cost. Requires deep expertise in distributed systems, ML infrastructure, and optimizing backend/ML performance.

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.