Staff Applied AI Product Engineer

Headquarters: Remote, USA At Carrum, we are transforming how we pay for, deliver and experience healthcare. If you are passionate about changing healthcare and want to finally get rid of surprise bills, poor quality, and high prices, while thriving in an entrepreneurial, cutting-edge environment, we would love to connect with you. In 2014 Carrum reinvented the Centers of Excellence (COE) category in digital health. Today, 95% of the US population lives within 50 miles of a Carrum COE and our providers rank in the top 10% nationally. Our team’s execution has been recognized by the venture community and we’ve raised more than $96M in aggregate from investors like OMERS, Tiger Global Management and Wildcat Ventures. Our impact has been externally proven in a 2021 RAND Corporation study and featured as a Harvard Business School (HBS) case study . As a Staff Applied AI Product Engineer , you will bridge the gap between cutting-edge AI capabilities and real-world patient needs. You will take a hands-on leadership role in architecting and integrating LLM-driven features into our core platform. While our foundation is built on Ruby on Rails (SOA) and React, you will lead the evolution of our stack to support AI-native workflows and build agents to support key business initiatives such as improving care navigation quality and efficiency. You will work closely with Data and Product teams (including a dedicated Applied AI PM) to determine use cases that require LLMs rather than ML, build robust RAG (Retrieval-Augmented Generation) pipelines, select appropriate foundation models, iterate on prompts, and design the "glue" that turns raw model intelligence into reliable product features. You will partner with our DevOps team to leverage AWS/Azure for simple and cost-effective cloud infrastructure deployment, ensuring that systems are both performant and resilient. A key responsibility will be implementing comprehensive monitoring and observability practices to guarantee the high