AI Developer II

Company Overview

Policy Reporter offers a suite of insights products and consulting services to enhance market access strategies and patient support initiatives. By tracking payer policies in near real time, we ensure that the largest pharmaceutical, medical device and diagnostics manufacturers, leading academic institutions and organized provider groups have the most up-to-date data and evidence-based guidance to help patients access the therapies they need. For more information, please visit https : / / www.policyreporter.com .

About the Team

The AI team within the Engineering department is dedicated to leveraging data and artificial intelligence to design and deliver reliable, scalable solutions that address critical business needs. We foster a collaborative and supportive team culture, with a strong emphasis on continuous learning and the adoption of modern technologies. Our work involves tackling a diverse set of technical challenges, with a primary focus on extracting structured data from complex healthcare policy documents. We are committed to building high-quality, impactful products that drive value across the organization.

Position Summary

We are looking for a self-directed, result driven candidate who is ready to experiment with finding solutions for difficult problems, appreciates challenges, is not afraid of asking questions, and enjoys working with others. This position focuses on leveraging AI technologies to analyze complex healthcare policy documents and providing performant and scalable solutions for data extraction.

Role & Responsibilities

Follow software development best practices : write clean, well-tested code; conduct code reviews; perform testing; manage deployments, etc.

Maintain and improve document parsing pipelines, including proactive issue investigation and identifying opportunities for enhancement.

Implement or enhance solutions that support long-term maintainability and ongoing flexibility.

Collaborate closely and professionally with stakeholders to gather and clarify requirements, and with internal Engineering teams to design and implement solutions to business problems. Reach out quickly when blocked so that we can work together to remove obstacles.

Provide accurate time estimates, adhere to project timelines, and consistently deliver on schedule.

Skills & Qualifications

3+ years of software development experience ideally focused on data processing pipelines, and 1+ year of applied machine learning / natural language processing experience.

Bachelor’s degree in computer science / engineering discipline or equivalent experience.

Strong programming skills in Python.

Excellent debugging, troubleshooting, and problem-solving skills.

Knows how to structure applications for long term maintenance and ongoing flexibility, familiar with SOLID design principles.

Great communication skills (written and verbal) and be a fast learner.

Experience in document understanding, PDF parsing, etc.

Experience with containerization (Docker) and cloud storage (AWS S3).

Nice to have :

Database experience such as SQL query, PostgreSQL, etc.

Experience working with PDF tabular data.

Experience working with comprehensive cloud technologies (e.g. AWS Lambda, ECS, SQS, etc).

Knowledge of the medical insurance industry and the ability to speak directly to medical professionals.

What We Offer

Competitive compensation package including extended health benefits (company-paid), paid-time off, paid volunteer leave, employer-matching retirement savings, etc. and company paid Employee Assistance Program

Excellent opportunities for personal and career development

Collaborative and supportive company culture

Policy Reporter’s Core Values

Excellence

Value & Respect

Continuous Learning

Ownership & Accountability

Teamwork

Policy Reporter is committed to Employment Equity. Accommodations during the recruitment process are available upon request for candidates with disabilities.

We use AI tools to assist with application screening and to transcribe and summarize interview responses. These tools do not make decisions; all hiring decisions are made by human reviewers.