Note: The job is a remote job and is open to candidates in USA. Relentless Talent is seeking a Senior Software Engineer to help transform healthcare billing through an AI-powered Medical Billing Automation SaaS platform. The role focuses on leading Python backend development, integrating AI, LLMs, and EDI protocols, and building scalable cloud-based systems, APIs, databases, interfaces, and tested software using Agile practices.
Responsibilities
- Lead the development of backend systems using Python, ensuring robust integration with AI models, LLMs, and EDI protocols to automate complex billing tasks
- Design and implement scalable microservices architectures utilizing cloud infrastructure such as AWS or Azure to support high-volume data processing
- Collaborate with cross-functional teams to develop RESTful APIs and web services that facilitate seamless communication between components and external systems
- Develop intuitive front-end interfaces with React, Angular, or similar frameworks to improve usability for end-users managing billing workflows
- Apply system design principles to create efficient database schemas using relational databases like SQL Server, PostgreSQL, or MySQL, as well as NoSQL options like MongoDB
- Implement rigorous testing strategies including unit testing, integration testing, and debugging to ensure high-quality deliverables aligned with SDLC (Software Development Life Cycle) standards
- Participate actively in Agile software development practices such as Scrum or Kanban, contributing to sprint planning, stand-ups, and continuous improvement initiatives
Skills
- Extensive experience with Python programming language for backend development and AI integration
- Strong knowledge of AI technologies including Large Language Models (LLMs) and their application in automation solutions
- Proficiency in EDI standards and protocols essential for healthcare data exchange processes
- Expert-level Python for ETL/ELT pipelines and automation, including libraries such as pandas, pydantic, and SQLAlchemy
- Production experience with a workflow orchestration platform such as Prefect, Airflow, or Dagster
- Strong SQL fluency across relational databases (SQL Server, PostgreSQL) and cloud data warehouses (Snowflake); familiarity with dbt or similar transformation tooling
- Disciplined testing and delivery practices: pytest or equivalent, continuous integration (GitHub Actions or similar), Docker, and Git-based code review
- Working knowledge of cloud infrastructure and services, Azure preferred
- Effective, verified use of AI-assisted development tools as part of daily engineering practice
Benefits
- Hybrid-remote work arrangement with occasional travel to East Dallas, a few days per quarter at most
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