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Senior Software Engineer - ai automation medical billing platform

  • Source: Indeed
  • Relentless Talent
  • $130,000 to $160,000 /yr
  • Hybrid
  • Buffalo
  • Full-Time
  • Senior

Job Description

PLEASE NOTE: This role is Hybrid - Remote with occasional travel to the come in East Dallas. A few days per quarter at most. This role will report directly to the CTO with direct interaction of the Founder / CEO. There is no work sponsorship or relocation assistance offered for this role.

We are seeking a highly motivated and innovative Senior Software Engineer to join our dynamic team, focusing on developing and enhancing our cutting-edge Medical Billing Automation SaaS platform. This role offers an exciting opportunity to leverage advanced technologies such as Python, Artificial Intelligence (AI), Large Language Models (LLMs), and Electronic Data Interchange (EDI) to revolutionize healthcare billing processes. As a key contributor, you will drive the design, development, and deployment of scalable, reliable solutions that streamline medical billing workflows, improve accuracy, and enhance user experience. Join us in transforming healthcare technology with your expertise and passion for software engineering!

Duties

  • 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.
  • Technical Skills
  • 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

Join us to be part of a forward-thinking team dedicated to transforming healthcare billing through innovative AI automation software solutions! Your expertise will directly impact the efficiency and accuracy of medical billing processes worldwide while advancing your career in a fast-paced technological environment.

Pay: $130,000.00 - $160,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance

Work Location: Hybrid remote in Buffalo, NY

Skills

  • Python
  • amazon-web-services
  • microsoft-azure
  • React
  • PostgreSQL
  • mysql
  • MongoDB
  • aws-data-exchange
  • Pandas
  • sqlalchemy
  • Airflow
  • apache-airflow
  • pypi-dagster
  • Snowflake
  • dbt
  • Pytest
  • Github
  • github-actions
  • Docker

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