28 days ago

AI Developer

Policy Reporter by Valeris

Hybrid
Full Time
CA$125,000
Hybrid
Apply

Job Overview

Job TitleAI Developer
Job TypeFull Time
Offered SalaryCA$125,000
LocationHybrid

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

About Policy Reporter

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 AI 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. This position will pay $110,000 to $125,000 CAD.

Role & Responsibilities

  • Work with data scientists and other developers to design, implement, integrate and deploy ML systems.
  • Work closely and professionally with different stakeholders on projects, adhere to project timelines and deliver solutions on time.
  • Identify opportunities for development of new data extraction pipelines or improvement in existing pipelines.
  • Serve as project technical lead as needed, collaborate with teams outside of Engineering to ensure that all stakeholders understand project goals, requirements and realistic timelines.
  • Follow software development best practices and provide technical leadership to the team. Including, but not limited to: Programming, code reviews, test, deployment
  • Mentorship on software development best practices and latest technologies
  • Keep updated with the latest AI technologies in ML/NLP/LLM and write production-level code to apply document understanding algorithms/models developed internally and from the community to solve our business problems.
  • Contribute to projects, adhere to project timelines and deliver solutions on time.
  • Assist with technical incidents by participating in troubleshooting and problem-solving activities, post-incident discussions/analysis, precaution implementation, etc.
  • Assist as needed with technical reviews of code samples and in technical interviews.

Skills & Qualifications

  • 5+ years of software development experience, and 2+ years with machine learning/natural language processing/large language models.
  • Bachelor’s degree in computer science/engineering discipline or equivalent experience.
  • Strong programming skills in Python, SQL.
  • Proven expertise in LLMs or other modern ML tools, such as TensorFlow, PyTorch, etc.
  • Excellent debugging, troubleshooting, and problem-solving skills.
  • Knows how to structure applications for long term maintenance and ongoing flexibility, familiar with SOLID design principles.
  • Skills in independently designing distributed and scalable systems. Understands common architecture technologies such as message queue.
  • Experience working with cloud technology stack (e.g. AWS).
  • Experience defining and implementing APIs with other teams.
  • Database experience such as PostgreSQL.
  • Great communication skills (written and verbal) and be a fast learner.
  • Experience communicating directly with customers to synthesize their requirements and align it with business goals.

Nice to have:

  • Expertise in document understanding, information retrieval, PDF parsing, or a related domain.
  • Experience in leading projects/teams.
  • Experience in LLM agentic design patterns.
  • 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, paid-time off, 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.

Key skills/competency

  • AI Development
  • Machine Learning
  • Natural Language Processing
  • Large Language Models
  • Python
  • SQL
  • Software Development
  • Data Extraction
  • Cloud Technology
  • API Design

Tags:

AI Developer
Machine Learning
Natural Language Processing
LLM
Python
SQL
Software Development
Data Extraction
Healthcare Policy
AWS

Share Job:

How to Get Hired at Policy Reporter by Valeris

  • Tailor your resume: Highlight your 5+ years of software development and 2+ years of ML/NLP/LLM experience, showcasing Python, SQL, and specific ML tools like TensorFlow or PyTorch.
  • Showcase project impact: Detail your experience in designing and implementing scalable ML systems, API development, and cloud technologies (AWS) in your application.
  • Demonstrate problem-solving: Emphasize your debugging, troubleshooting, and SOLID design principles knowledge in your resume and cover letter.
  • Prepare for technical interviews: Be ready to discuss your experience with document understanding, information retrieval, and your familiarity with LLM agentic design patterns.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background