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.

The Role

As an AI Engineer at Candid health, you’ll be empowered to bring Artificial Intelligence & Machine Learning to the forefront 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 to 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.

We’re looking for a tastemaker and strong hands-on builder who can effectively navigate the complexities of our problem space – medical billing– and leverage their technical expertise to deliver strategic AI- & ML-based solutions leading to impactful business outcomes.

What You’ll Do

Innovate, Drive Outcomes & Apply AI to Real Problems: Identify and drive opportunities on when, where and which AI/ML techniques can deliver impactful business outcomes. Apply industry best practices, leverage state-of-the-art technologies and tools to design systems. 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.
Scale and Unlock New & Existing Products: Collaborate closely with customers and cross-functional teams to automate and scale products and workflows with the most technical complexity, such as claim submission, resubmission, and workflow optimization. You will play a role that directly influences product roadmaps to enable Candid’s customers to optimize their RCM operations at scale.
Build AI Infrastructure: Partner with multiple engineering teams to build and enhance Candid’s infrastructure 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.

Who You Are

Bachelors or Masters of Science in Computer Science, Computer Engineering, Math or other similar degree.
5+ years of experience building software of significant scale and complexity.
2+ 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.
you know the right architecture and patterns to build something of enduring value and scale.
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.
Experience with the technologies we currently use is a plus, but by no means required: Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python.

Pay Transparency

The estimated starting annual salary range for this position is $165,000 to $220,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.

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AI/ML Engineer