Python Engineer
Listed on 2026-08-23
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Software Development
Python, AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software
Python Engineer (AI)
Onsite — Charlotte, NC (4 days per week, located next to Bank of America Stadium)
Our client, a healthcare-technology company operating a commerce and financing platform that connects medical-device manufacturers with providers, is looking for a skilled Python Engineer with an AI background to join their growing engineering team. In this role, you'll build and deploy the intelligent systems and services that power a fast-scaling platform at the intersection of healthcare, commerce, and technology.
Our client is seeking someone who thrives on solving complex problems, shipping production-grade Python, and applying AI/ML to real business outcomes.
What You Will Be Doing- 40% — Python Development:
Design, build, and maintain production-grade Python services and APIs that power the platform's commerce and financing capabilities. - 30% — AI/ML Engineering:
Develop, integrate, and deploy AI/ML models and intelligent features; move solutions from prototype to production. - 15% — Collaboration & Integration:
Partner with product, data, and platform teams to translate requirements into scalable, well-architected solutions. - 15% — Quality & Reliability:
Write testable, maintainable code and support the performance, scalability, and reliability of deployed services.
- Language:
Python - Focus: AI/ML — model development, integration, and deployment
- Domain:
Healthcare-tech commerce and financing platform
- Strong professional experience building production Python applications
- Hands-on AI/ML background (model development, integration, or deployment)
- Experience designing and consuming APIs and building scalable services
- Solid understanding of software engineering fundamentals — testing, version control, code quality
- Ability to work onsite in Charlotte, NC, four days per week
- Experience in healthcare, fintech, or commerce/marketplace environments
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Exposure to data pipelines, MLOps, or model-serving infrastructure
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) Match
Applicants must be currently authorized to work in the US on a full-time basis now and in the future
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