ML Engineer, LLM's

Job title: ML Engineer / Researcher, Large Language Models WORK AUTHORIZATION Must be authorized to work in the U. S. ; we are unable to sponsor visas for this role.

About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care.

We are growing fast across both commercial health systems and federal healthcare, and our ambient documentation platform is scaling to thousands of clinicians across hundreds of specialties.

We are at an inflection point where advances in language models and clinical AI can fundamentally change how clinicians interact with technology. That gives them more time to focus on what matters most: their patients.

Position Overview We are hiring an ML Engineer / Researcher focused on Large Language Models to help build the next generation of Knowtex's AI stack. You will develop and optimize the models behind our clinical documentation and structured clinical reasoning, improving quality, cost, latency, and control.

Your work will draw on Knowtex's large proprietary clinical dataset, built from real-world encounters across hundreds of specialties. This is a research-heavy role with a direct path to production. You will design experiments, build datasets and evaluation systems, and fine-tune and post-train models.

You will also work closely with engineering and clinical teams to deploy successful approaches at scale. The role plays a central part in defining Knowtex's long-term LLM strategy.

Key Responsibilities

Clinical Documentation & Reasoning Develop and optimize models that generate high-quality clinical documentation, including SOAP notes and specialty-specific note formats Build models for downstream clinical tasks such as medication extraction, orders, ICD-10 coding, E&M coding, patient visit summaries, and other structured clinical artifacts Apply structured generation, tool use, and agentic approaches to produce reliable, controllable clinical o