AI Engineer

Location: Remote within Ontario, Canada; primarily works Eastern Time (EST) hours. The interview process includes onsite interviews.

Compensation: $90,000–$120,000 CAD per year, plus eligibility for bonus pay.

Company

hirify.global is a water quality company within Veralto, a global provider of essential technology solutions focused on safeguarding vital resources.

What you will do

• Design and deploy end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
• Build generative AI applications using large language models, RAG, and natural language processing.
• Identify and prioritize high-impact AI opportunities with data engineering, analytics, and business stakeholders.
• Expand AI capabilities across ordering, sales, engineering documentation, troubleshooting, service, and knowledge management workflows.
• Build and maintain data pipelines, model infrastructure, monitoring, validation, evaluation, and feedback loops for production AI applications.
• Establish responsible AI practices, governance, documentation, reproducibility, and effective collaboration across product, IT, engineering, service, sales, and data engineering teams.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field.
• 5+ years of experience as an engineer, plus hands-on experience designing and developing AI agents for real-world business or product use cases.
• Experience taking AI solutions from concept and prototyping through production deployment and ongoing optimization.
• Practical experience designing and implementing Retrieval-Augmented Generation workflows and architectures.
• Experience building AI monitoring, validation, evaluation, and feedback loops to improve solution quality and performance.
• Experience with Azure, Snowflake, or comparable cloud, data, and AI platforms.
• Strong hands-on Python development experience for reliable, production-ready AI applications.
• Experience integrating leading LLMs such as Claude, OpenAI/ChatGPT, Microsoft/Azure OpenAI, or comparable models into automated workflows and applications.
• Ability to experiment with emerging AI capabilities and turn them into scalable, reliable, and measurable solutions.

Nice to have

• Experience with IoT data, time-series analysis, or remote monitoring applications, particularly in industrial or water-related environments.
• Experience with Azure, AWS, or Snowflake, including model or AI agent deployment and monitoring.
• Knowledge of data engineering practices, including ETL pipelines, data architecture, and workflow orchestration tools such as Airflow.
• Experience with MLOps, including model versioning, monitoring, and retraining pipelines.
• Experience working within Agile, cross-functional product or technology teams.

Culture & Benefits

• Remote work within Ontario, Canada with primarily Eastern Time working hours.
• Inclusive environment where associates are encouraged to share perspectives and contribute to shared goals.
• Comprehensive benefits package including paid time off and medical, dental, and vision insurance for eligible employees.
• Opportunity to shape practical, scalable AI capabilities across intelligent products, remote monitoring, engineering knowledge, and internal business processes.