The Company 

Infinia ML, based in the Raleigh-Durham area, is an AI company specializing in automating workflows in healthcare. Infinia ML is part of Aspirion, a leading provider of complex claims and denials management services. Aspirion helps hospitals and healthcare systems minimize patient burden by maximizing reimbursement from insurance companies. Infinia ML has developed a versatile and standardized platform for processing written content in documents, such as medical records, insurance claims, correspondence and more leveraging the power of ML, including LLMs. 

Job Description

Infinia ML is seeking a Principal Engineer with a desire to join a fast-growing company in the healthcare space. You will work with a dynamic team of data scientists and engineers, collaborating on new machine learning algorithms and their application to automated document processing. We're in search of individuals who thrive on tackling real-world problems and relish the flexibility and adaptability of our work environment.

Typical activities will include:

• Architecting and developing scalable and secure features for ML-driven SaaS platform.
• Owning projects end-to-end, from initial requirement gathering and architectural decisions through testing and deployment to production.
• Maintaining highly available and responsive production services through automated monitoring of metrics and alerting.
• Working with the team to shape our culture by sharing ideas, practices and potential tools wherever you see a problem to be solved.
• Synthesizing user feedback and industry best practices to create an intuitive and impactful product.
• Writing testable, reusable and well-documented code supporting longevity and ease 
• of maintenance.
• Collaborating across our internal teams to help identify and solve unique ML problems.

Technologies we use:

• Python, JavaScript/Typescript and Go
• PostgreSQL, Kafka, RabbitMQ, Redis, and similar
• Python web frameworks including Django, Flask, and FastAPI
• Vue.js, Tailwind CSS, and Highcharts
• Automated testing frameworks including Playwright and PyTest
• Docker, Kubernetes, Gitlab, CI/CD, GitOps, Datadog
• AWS and Azure

Preferred candidates will have:

• Experience with many of the languages, frameworks, and technologies listed above.
• Built and maintained internet-facing SaaS applications in a microservice-oriented architecture on one or more cloud providers.
• Worked with highly sensitive data requiring strong security and compliance at all levels.
• Developed within distributed systems that ingest and process large amounts of data.
• Familiarity with continuous integration, automated testing, and vulnerability scanning.
• An appreciation for well-tested, secure, and documented code.
• Participated in a data driven environment prioritizing service stability and reliability.
• Supported the resolution of production outages and security incidents.
• A capacity for self-sufficient problem solving.
• Willingness to work with and learn new technologies as required.
• Strong communication skills and a team-player mentality.