Machine Learning Engineer, GenAI

About

Altea Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient and post‑acute care. The company is seeking a Machine Learning Engineer, GenAI to join the AI team. The role focuses on developing, shipping, and scaling GenAI solutions that help care providers improve care delivery and quality for post‑acute patients.

• Location: Burnaby, BC (hybrid – 4 days onsite, 1 day remote). Exceptional candidates may be considered for remote work flexibility in Canada.
• Job Type: Full‑time
• Schedule: Full Time

Responsibilities

• Develop and ship AI products with a focus 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 pull requests.
• 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 projects end‑to‑end, ensuring accuracy, timeliness, and alignment with business goals; manage dependencies and be accountable for outcomes and quality.
• Problem Solving: Identify root causes, solve complex technical problems, and proactively propose scalable improvements.
• Contribution to Team: 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 keeping security and quality considerations in mind.

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; it is not intended for data scientists, dashboard builders, or those with purely model development experience.

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.

Compensation & Benefits

• Salary: $145‑170k CAD
• Competitive pay, benefits, and extremely valuable startup stock options.