Machine Learning Engineer, GenAI

Machine Learning Engineer, GenAI Company: Altea Healthcare / Aarista Technologies Location: On site at our Burnaby, BC office four days per week, one day remote (Hybrid). Exceptional candidates may receive remote work flexibility in Canada. Compensation: $145-170k CAD (Cash + Startup Stock Options) Overview Altea Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient and post‑acute care.

The Machine Learning Engineer will develop and ship scalable GenAI solutions that enhance care delivery and quality for post‑acute patients. Responsibilities Develop and ship AI products, focusing on scalability and monitoring. Collaborate with MLEs, front‑end, and back‑end engineers to deliver high‑quality products/apps.

Drive products from 0 to 1, from business requirements to production deployment. Incorporate feedback from cross‑functional teams and refine ML‑driven applications through quick iteration cycles. Maintain best software engineering and MLOps practices within the healthcare industry.

Document and optimize system architecture, design decisions, and codebase to facilitate future maintenance and enhancements. Sample Day‑to‑Day Work Write, test, and debug production‑ready code. Review and approve PRs.

Troubleshoot and resolve production issues and user feedback. Work with external teams (frontend, backend, product) to design/optimize AI products. Scale products to more regions and end‑users.

Update documentation and track progress on tickets. Assist with ad‑hoc scripts when needed. Core Qualities Ownership: Own project end‑to‑end, ensuring accuracy, timeliness, and alignment with business goals.

Problem‑solving: Identify root causes, solve complex technical problems, and propose scalable improvements. Team Contribution: Support teammates through PR reviews, collaboration, knowledge sharing, and constructive feedback. Product‑driven mindset: Create impactful products from 0 to 1 in a fast‑paced environment.

Tech savvy: Tinker with the latest technologies and maximize use of AI‑assisted tools while considering security and quality. Tech Stack Azure DevOps (Git repos, CI/CD pipelines, PR, app services) LangGraph / Langchain / LangSmith GitHub Copilot / Cursor / Claude Key Qualifications Proven experience deploying, scaling, integrating, and maintaining GenAI applications using Azure DevOps, Azure App Services, and Azure Functions. Strong understanding and experience in software engineering and MLOps best practices.

Experience with unit testing and regression testing to ensure quality and stability. Experience working with full‑stack/front‑end/back‑end engineers to build products; product‑oriented mindset. Note: This role focuses on deployment and integration of GenAI applications, not purely on model development.

Other Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience. At least 2 years of post‑education, non‑internship experience as an ML Engineer or Software Engineer. Experience with multi‑agent RAG systems.

Strong interest in healthcare, with preferred experience working with healthcare data. Benefits Full‑time position with competitive pay, benefits, and valuable startup stock options. #J-18808-Ljbffr