AI​/ML Software Engineer; Senior

About Candid

At Candid Health, we're on a mission to revolutionize healthcare by solving one of its most complex and costly problems: the billing and revenue cycle management (RCM) process. The healthcare system has long been burdened by slow, inefficient workflows that waste valuable resources, leaving providers with less time and money to focus on patient care. With our cutting‑edge revenue cycle automation platform, we are transforming this space through an intelligent, data‑driven approach that simplifies billing, enhances claims processing, and eliminates administrative waste.

As an AI Engineer at Candid Health, you’ll be empowered to bring Artificial Intelligence & Machine Learning to the of healthcare automation. This is an opportunity to get in at the ground floor of designing and building something exciting and new—generating immense value for both medical providers and their patients. You will be responsible for translating compelling initial prototypes into a foundational set of differentiated, high‑impact ML/AI use cases throughout our platform and across our customer base.

• Expansively Own Outcomes & Apply AI to Real Problems:
  Building AI features into Candid’s platform to deliver outcomes for both internal teams and external customers.
• Innovate and Drive our Technical AI Strategy:
  Identify and drive opportunities on when, where and which AI/ML techniques can deliver business value. Research industry best practices and design systems to support scalable deployments.
• Scale and Unlock New & Existing Products:
  Partner with leadership and cross‑functional teams to automate and scale products and workflows such as claim submission, resubmission, and workflow optimization. Drive Candid’s AI roadmap and directly influence product roadmap across the board.
• Build AI Infrastructure:
  Architect infrastructure that allows leveraging AI across every facet of the product. Structure and format data to support AI development. Establish rigorous processes for model training, testing, and monitoring to meet high security and scalability standards.

• Bachelor’s or Master’s of Science in Computer Science, Computer Engineering, Mathematics or a related field.
• 8+ years of experience building software of significant scale and complexity.
• 5+ years of AI engineering experience in a professional setting, preferably applying it to real‑world solutions.
• Experience building systems that leverage ML technologies (e.g., NLP models) and familiarity with relevant tools, frameworks, and libraries.
• Understanding of the pros, cons, and tradeoffs of various AI solutions across a wide variety of use cases, and ability to advise on deterministic vs. non‑deterministic approaches.
• Knowledge of the right architecture and patterns to build enduring value at scale.
• Customer‑first and learner‑mindset, and a willingness to teach others.
• Ability to make project‑scope trade‑offs and prioritize effectively.
• Clear and concise communicator who can explain complex ideas simply, both in‑person and in writing.
• Experience with Google Cloud Platform, Big Query, Postgre
  
  SQL, Metabase, Terraform, Python is a plus, but not required.