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Candid Health is looking to solve one of the most complex and costly problems in healthcare: the billing and revenue cycle management (RCM) process, by leveraging Artificial Intelligence & Machine Learning to simplify billing, enhance claims processing, and eliminate administrative waste.

Requirements

• 5+ years of AI engineering experience in a professional setting, preferably applying it to real world solutions.
• You’ve built systems that leverage ML technologies (e.g. built or used specific NLP models), and know what tools, frameworks, and libraries to use.
• You understand the pros, cons, and tradeoffs of leveraging various AI solutions across a wide variety of use cases, and can help us make informed decisions around when to use deterministic (ML) vs. non-deterministic (LLM) approaches to deliver the best ROI, efficiency improvements, & cost savings.
• Experience with the technologies we currently use is a plus, but by no means required: Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python.

Responsibilities

• Expansively Own Outcomes & Apply AI to Real Problems: Candid’s mission is to use technology to rebuild the backbone of American healthcare. The innovations we make have the potential to change both medical providers and patient experience in a meaningful way. You are responsible for Candid delivering on outcomes for both internal teams and external customers through, but not limited to, building AI features into Candid’s platform.
• 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, leverage state-of-the-art technologies and tools to design systems and support the necessary outcomes in a forward looking and responsible manner.
• Scale and Unlock New & Existing Products: Partner with leadership and cross-functional teams to automate and scale products and workflows with the most technical complexity, such as claim submission, resubmission, and workflow optimization.
• Build AI Infrastructure: Architect the infrastructure that will allow us to leverage AI across every facet of our product. Structure and format our data to better support AI development. Establish rigorous processes for model training, testing, and monitoring—ensuring they are scalable, extensible, and meet our high expectations for security standards.

Other

• Bachelors or Masters of Science in Computer Science, Computer Engineering, Math or other similar degree.
• 8+ years of experience building software of significant scale and complexity.
• You have a customer-first and learner’s mindset, and value teaching others.
• You make the right trade-offs when considering project scope, which corners are worth cutting, and which are not.
• You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing.