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Ai Medical Coding Jobs in Toronto, ON (NOW HIRING)

You will write production code, design systems, automate repetitive work, and own outcomes across ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

You will write production code, design systems, automate repetitive work, and own outcomes across ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

Raise the quality of nearby systems through code review, documentation, design discussion, and ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

Raise the quality of nearby systems through code review, documentation, design discussion, and ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

... code quality, performance, measurement, and user experience. What you'll own * Build fast ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

... code quality, performance, measurement, and user experience. What you'll own * Build fast ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

Medical, Dental, Vision, Employee Assistance Program, Parental Leave * Diversity & Inclusion ... Using tools such as Claude Code and other AI-assisted development technologies, you will design and ...

Technical Research Assistant

Toronto, ON ยท On-site +1

CA$25 - CA$28/hr

... modal AI projects * Gain exposure to large, high-quality datasets spanning medical imaging and ... Experience with agentic coding tools (Claude Code, Codex) * Previous work involving multi ...

New

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Experience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLM * Knowledge of ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Experience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLM * Knowledge of ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Experience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLM * Knowledge of ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Experience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLM * Knowledge of ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Experience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLM * Knowledge of ...

Contribute hands-on through development, code reviews, design reviews, and technical coaching ... Do not include any medical or health information in this email. The Reasonable Accommodations team ...

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Showing results 1-20

Ai Medical Coding information

What is AI medical coding?

AI Medical Coding refers to the use of artificial intelligence technologies to automate the process of converting healthcare diagnoses, procedures, and services into standardized medical codes. These codes are essential for billing, insurance claims, and maintaining accurate patient records. AI systems can analyze clinical documents and recommend or assign appropriate codes with greater speed and accuracy, helping to reduce human error and administrative workload. This technology supports healthcare providers by streamlining coding processes and ensuring compliance with regulatory standards.

What are the key skills and qualifications needed to thrive as an AI medical coder?

To thrive as an AI Medical Coder, you need expertise in medical coding standards (ICD-10, CPT), healthcare regulations, and a strong understanding of medical terminology, often supported by a certification such as CPC or CCS. Familiarity with AI-driven coding platforms, EHR systems, and data analytics tools is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for ensuring coding accuracy and collaborating with healthcare teams. These competencies are essential for maintaining compliance, optimizing reimbursement, and supporting efficient healthcare operations in an increasingly technology-driven environment.

How does an AI medical coding professional typically collaborate with healthcare providers and IT teams?

AI Medical Coding professionals often work closely with healthcare providers to ensure clinical documentation is accurately interpreted and coded. They also collaborate with IT teams to implement, validate, and optimize AI-driven coding tools, ensuring systems meet compliance standards and integrate smoothly with existing electronic health records (EHRs). Open communication with both groups is essential, as it helps address discrepancies, improve coding accuracy, and streamline workflows. This cross-functional collaboration is key to maintaining high-quality data and regulatory compliance in a fast-paced healthcare environment.

What is the difference between Ai Medical Coding vs Medical Coding?

AspectAi Medical CodingMedical Coding
CertificationsTypically requires CPC or CCS certificationsRequires CPC, CCS, or equivalent certifications
Work EnvironmentOften performed in healthcare facilities or remotely with AI supportPrimarily in hospitals, clinics, or remote settings
Industry UsageUsed in healthcare billing, insurance, and AI-driven coding toolsUsed in medical billing, coding departments, and healthcare administration

Ai Medical Coding combines artificial intelligence with medical coding skills, often requiring similar certifications as traditional Medical Coding. While Medical Coders manually review and assign codes, Ai Medical Coding leverages AI tools to automate or assist this process. Both roles are essential in healthcare billing and insurance, but Ai Medical Coding emphasizes technology integration, making it suitable for those interested in AI applications within healthcare.

Infographic showing various Ai Medical Coding job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI Infrastructure Engineer

Palona AI

Toronto, ON โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Palona's AI agents operate continuously in production, handle real-time guest interactions, integrate with restaurant systems, and face sharp traffic peaks. Infrastructure is therefore part of the product: latency, reliability, deployment safety, observability, security, and cost directly shape the guest and operator experience.

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products, improve how engineers ship, and turn production signals into durable system improvements. This is not a ticket-driven IT or operations role. You will write production code, design systems, automate repetitive work, and own outcomes across the full service lifecycle.

Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and Lambda workloads, API Gateway, load balancers, relational data systems, OpenTofu/Terraform, Datadog, and CI/CD automation. We value the ability to learn and make sound tradeoffs more than exact tool-for-tool matching.

What you will own:
  • Design, build, and evolve secure, scalable cloud infrastructure for real-time AI services and customer-facing applications.
  • Improve service reliability through clear SLOs, actionable observability, capacity planning, failure testing, and pragmatic incident prevention.
  • Build deployment and release systems that make production changes fast, repeatable, auditable, and safe.
  • Own infrastructure as code, environment consistency, and reusable platform patterns across development, staging, and production.
  • Partner with product and AI engineers on architecture, performance, data flows, and operational readiness for new capabilities.
  • Diagnose complex distributed-system failures across application, network, database, model-provider, and third-party integration boundaries.
  • Reduce infrastructure and model-serving cost without compromising customer experience or engineering velocity.
  • Strengthen secrets management, access controls, backup and recovery, vulnerability management, and other practical security foundations.
  • Build internal tooling and paved paths that let engineers ship and operate services with less manual work.
  • Participate in incident response and turn incidents into better systems, automation, documentation, and engineering judgment.

Requirements

  • 3+ years industrial experience in relevant technical domain.
  • Strong software engineering fundamentals and experience building or operating production distributed systems.
  • Hands-on experience with a major cloud platform; AWS experience is especially relevant.
  • Experience with containers, infrastructure as code, CI/CD, monitoring, alerting, and production debugging.
  • Ability to write reliable automation and services in Python or another modern programming language.
  • Sound judgment around availability, latency, scalability, security, and cost tradeoffs.
  • A track record of taking ambiguous operational problems from diagnosis through durable resolution.
  • Clear communication during architecture reviews, launches, and incidents.
  • AI-native working habits and curiosity about the operational behavior of LLM- and agent-powered systems.

Benefits

  • Competitive Salary and Stock Option Plan.
  • Medical, dental, vision, retirement, leave, and disability benefits as applicable.
  • Family Leave
  • Short Term & Long Term Disability
  • Paid time off and company holidays.
  • Learning and development support.