Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.
Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.
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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
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
What the job involves
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
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
