Lead Software Engineer (RCM)

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Overview of PracticeTek

PracticeTek is a prominent healthcare technology company that specializes in delivering sophisticated software solutions tailored for various clinics, including dental, orthopedic, chiropractic, and optometry practices. Established in the industry, PracticeTek is committed to empowering clinicians and their teams, enabling them to provide better patient care through innovative, user-friendly technology. The company emphasizes continuous improvement and adaptation to meet the evolving demands of the healthcare sector.

The Role of Lead Software Engineer (RCM)

The position of Lead Software Engineer is critically focused on the Revenue Cycle Management (RCM) and Shared Services team. The role is designed for a technical leader who will manage the design and implementation of AI and large language model (LLM) capabilities, aimed at transforming revenue cycle workflows for different products and brands under the PracticeTek umbrella. Candidates should be prepared for a hands-on approach, writing code and designing systems, while also mentoring fellow engineers and closely collaborating with product teams and subject-matter specialists.

Key Responsibilities and Areas of Accountability

In this role, your primary duties will include:

• Leading the design and implementation of shared ML/AI services for RCM, which includes a variety of use cases such as claim triage, denials prediction, and automation of financial interactions.

• Developing and maintaining comprehensive ML pipelines, ensuring data preparation, feature engineering, training, and monitoring are effectively executed to achieve reproducibility and scalability.

• Building and optimizing workflows powered by LLMs, utilizing techniques like RAG (Retrieval-Augmented Generation) and vectorization to provide precise, context-aware solutions.

• Collaborating with multiple departments—including Product, RCM Operations, and Data Engineering—to turn business problems into actionable ML/AI solutions, focusing on high-ROI applications.

• Prototyping and deploying models for a variety of scenarios, always with an eye on achieving substantial business impact, such as decreasing days in Accounts Receivable (A/R) and improving collection rates.

• Monitoring and implementing observability structures for models in production, ensuring data quality and compliance, particularly with HIPAA regulations.

  

• Mentoring junior engineers, leading by example in technical practices, code reviews, and promoting best practices in ML development.

Required Qualifications and Skills

Candidates interested in applying for this position should possess:

• A minimum of five years of professional experience in developing and deploying ML/AI solutions in production environments. Previous experience in senior or lead capacities is preferred but not mandatory.

• Comprehensive knowledge of AWS AI/ML services, including tools like SageMaker, Bedrock, and Lambda, along with hands-on experience in MLOps practices.

• Strong familiarity with LLMs and associated systems, particularly with RAG architectures, to enhance operational workflows.

• Proficiency in Python and modern ML frameworks like PyTorch or scikit-learn, ensuring competence in the latest technology trends.

• Ability to effectively communicate and work alongside non-technical stakeholders, such as financial and clinical leaders, reinforcing the need for excellent teamwork and collaboration skills.

Compensation and Benefits

In terms of salary, PracticeTek evaluates a variety of factors, including industry standards and individual qualifications, making them competitive in the job market. While the exact salary range was not disclosed in the job advertisement, it is hinted that compensation will align accordingly within the industry benchmarks for similar positions.

Furthermore, PracticeTek champions diversity and inclusion in its workplace, pledging fair treatment to all applicants regardless of race, gender, or other categorizations protected by law. This commitment indicates a progressive working environment and reflects the company’s core values.

Conclusion

Overall, the Lead Software Engineer position at PracticeTek presents a compelling opportunity for candidates looking to work at the intersection of healthcare and technology. By focusing on AI and ML technologies, this role not only allows you to make impactful contributions to patient care but also positions you well for career advancement within a well-respected company in the healthcare technology landscape.

This job offer was originally published on himalayas.app