Applied AI Engineer — Build Secure, Scalable AI Solutions

Se-Health; Markham; Hybrid; CAD 87,000 - 108,000; Full time

Benefits offered by this job

Competitive compensation

Pension

Housing solutions

Job summary

SE Health is seeking an Applied AI Software Engineer to design, build, test, deploy, and support secure AI solutions across clinical and operational domains. You will translate needs into production AI applications using ML, NLP, and agentic workflows, collaborating with product, security and software teams.

The role emphasizes responsible AI, governance, and scalable delivery across cloud environments, with modern agentic development practices and continuous improvement.

Qualifications

• Degree in a technical field or equivalent experience.
• Strong Python and TypeScript/Node.js skills.
• Hands-on AI, ML, data or automation project delivery.
• Experience with cloud, security, and governance.

Responsibilities

• Design and develop AI-powered applications, services and APIs.
• Build and integrate data pipelines, models, and retrieval‑augmented systems.
• Ensure responsible AI, privacy, security, and governance throughout delivery.
• Collaborate in agile teams to ship production AI capabilities.
• Implement testing, monitoring, and cost governance for AI workloads.

Skills

Python

TypeScript/Node.js

React/Next.js

API development

SQL/data-processing

CI/CD

MLOps

AI systems

DevSecOps

Communication

Education

Bachelor's Degree in Computer Science / Software Engineering / AI

Tools

Foundry/Claude integration

PyTorch/TensorFlow

PostgreSQL with pgvector

React

Next.js

Job description

SE Health is seeking an Applied AI Software Engineer to design, build, test, deploy, and support secure AI solutions across clinical and operational domains. You will translate needs into production AI applications using ML, NLP, and agentic workflows, collaborating with product, security and software teams.

The role emphasizes responsible AI, governance, and scalable delivery across cloud environments, with modern agentic development practices and continuous improvement.