AI Engineer (Applied Scientist) III

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The Role: Cedar is seeking an AI Engineer /Applied Scientist III to join our team and help build and optimize product features powered by generative AI . Our goal is to use AI to drive bill clarity for patients and streamline workflows for our customers, which are large healthcare systems across the US. This role is for the Support/Kora squad, where you will work on Kora, an AI Voice Agent purpose-built for patient billing, which is the central product for our Cedar Support offering. In this role, you will develop a deep understanding of Cedar’s data and workflows and utilize your skillset in rigorous data analysis combined with production-level coding and rapid execution to design, build, and improve the AI workflows that solve problems for patients via the voice medium. Responsibilities: Build and enhance features for our AI Voice Agent, Kora – utilizing your skillset in production-level coding as well as prompt and context engineering. Design robust experiment plans that deconstruct large goals into small testable hypotheses. Execute these plans through iterative development cycles where you ship new features, evaluate how your features work with real patients, and continue to improve and optimize Kora’s behavior to better meet the needs of patients and providers. Through it all, you’ll display a strong ownership mentality, product mindset, and user experience focus. Dive into unstructured data with finesse and rigor, combining quantitative and qualitative approaches to solve complex problems. This data can include call transcripts, patient account details, and more. Partner closely with other scientists, engineers, designers, and product counterparts to solve problems as a team Amplify your programming skillset with AI-enabled coding, as our internal AI agent(s) help us to improve and optimize Kora at a pace that we could not achieve on our own Work in a fast-paced environment where we cheer each other on as we find small ways to make the patient experience a little bit better every day, while we work towards our ultimate goal to transform the healthcare financial experience What this role IS NOT : Not machine learning modeling: You will not be training models from scratch; instead you will be leveraging Foundation model APIs and Agent SDK platforms to develop impactful AI Agent systems Not a pure "science" or "research" role: In this "end-to-end" role, you will implement your solutions in our production codebase (while effectively leveraging AI coding assistants as part of your toolkit), and your focus will be on making direct impact on our product's performance Not pure software engineering: You won't just be engineering straightforward solutions with pre-defined requirements. Instead, you'll develop structured experimentation plans and break down complex problems into testable hypotheses that you launch in an iterative fashion, to rapidly make impact while observing real user behavior to learn what works and what doesn't Not a role for those who want to stick to a narrow area of expertise: You will combine your technical skillset with product and design thinking, to work across boundaries and create the solutions that matter -- regardless of whether the particular task represents engineering, data science, product, or something in-between! ... (truncated, view full listing at source)