Senior Software Engineer - AI/ML

About Aquatic Informatics

Role overview

What you'll do

• Develop applications for sensor anomaly detection, digital twins of water treatment plants, and LLM-powered agents for water data insights.
• Own features from requirements and technical design through implementation, review, testing, documentation, and troubleshooting.
• Build cloud-native services on AWS and Azure; develop frontend and backend code using Angular and C#.
• Advance AI adoption in development while following governance best practices and improving productivity, quality, and team health.
• Manage development infrastructure and improve unit, integration, and end-to-end testing frameworks.

Essential requirements

• Post-secondary degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience.
• 5+ years designing, building, and operating large-scale, data-intensive, cloud-native applications using microservices on AWS or Azure.
• Experience with a modern frontend framework such as Angular, React, or Vue, and strong .NET and C# development background.
• Excellent verbal and written English communication skills; genuine interest in AI for software development.
• Hands-on experience with agentic engineering and AI-assisted development workflows.

Preferred skills

• Database design and development with SQL, Oracle, or PostgreSQL is preferred.
• Environmental science, time series data, IoT, or industrial controls experience is an asset.
• Exposure to data science or machine learning is preferred; deep AI/ML expertise is not required.
• Experience leading and mentoring junior developers is preferred.

Benefits

• Benefits include paid time off, flexible working hours, medical, dental, and vision coverage, a wellbeing program, retirement savings matching, and career development opportunities.

Compensation

• Compensation is CAD 120,000 to CAD 145,000 per year; the role is also eligible for bonus pay.

Work arrangement

• Remote role with optional in-office collaboration on Wednesdays; final candidates may be asked to attend an in-person interview at the Vancouver facilities.