Senior AI Engineer

Location:

320 Granville Street

Employment Type:

Full-Time

Reports To:

Engineering Lead

About SiteMax Systems

SiteMax Systems is a leading provider of comprehensive construction and project management software, serving over 150,000 jobsites and tens of thousands of construction professionals daily. Our unified platform eliminates the need for multiple applications by providing contractors, subcontractors, and owners with powerful tools for daily reporting, safety compliance, time tracking, photo management, equipment tracking, and complete construction management—all in one intuitive solution.

Position Overview

We are seeking an innovative and experienced Senior AI Engineer to help shape the future of construction management technology. In this role, you'll leverage artificial intelligence and machine learning to enhance our platform's capabilities, automate workflows, and deliver intelligent insights that help construction professionals work more efficiently and make better decisions. This is an opportunity to apply cutting-edge AI technology to solve real-world problems in the construction industry.

As a Senior AI Engineer, you'll work closely with our product, engineering, and customer success teams to identify opportunities where AI can add value, build and deploy AI-powered features, and continuously improve our intelligent systems based on real-world usage and feedback.

Key Responsibilities

AI/ML Development & Implementation

• Design, develop, and deploy machine learning models and AI-powered features that enhance our construction management platform
• Build intelligent automation solutions for document processing, data extraction, and workflow optimization
• Develop natural language processing (NLP) capabilities for improved search, categorization, and insights from construction documentation
• Create computer vision models for automated photo analysis, defect detection, and progress tracking from jobsite images
• Implement predictive models for project scheduling, resource allocation, and risk identification

Platform Integration & Optimization

• Integrate AI/ML models seamlessly into our existing SaaS platform architecture
• Work with cloud infrastructure to deploy and maintain AI services
• Implement MLOps best practices including model versioning, monitoring, and continuous improvement
• Ensure AI features maintain high performance standards while scaling with platform growth

Data Engineering & Pipeline Development

• Build and maintain data pipelines for model training, validation, and deployment
• Work with large-scale construction data including documents, images, forms, and time-series data
• Develop data preprocessing and feature engineering workflows specific to construction industry use cases
• Implement data quality monitoring and validation systems
• Ensure data privacy, security, and compliance in all AI implementations

Research & Innovation

• Stay current with latest AI/ML research and evaluate applicability to construction management challenges
• Prototype and test new AI capabilities that could provide competitive advantages
• Conduct experiments to validate AI solutions before full-scale implementation
• Contribute to technical strategy and roadmap for AI initiatives
• Explore emerging technologies including generative AI, large language models, and multi-modal models

Collaboration & Technical Leadership

• Partner with product managers to translate business requirements into AI solutions
• Collaborate with frontend and backend engineers to integrate AI features into user experiences
• Mentor junior engineers and promote AI/ML best practices across the engineering team
• Communicate technical concepts to non-technical stakeholders
• Participate in code reviews and contribute to technical documentation

Measurement & Continuous Improvement

• Define success metrics for AI features and track performance over time
• Analyze user feedback and usage data to improve model accuracy and relevance
• Implement A/B testing frameworks to validate AI feature improvements
• Monitor model drift and retrain models as needed
• Iterate on AI solutions based on real-world performance and customer feedback

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field
• 5+ years of professional experience developing and deploying machine learning models in production environments
• Strong programming skills in Python and experience with modern ML frameworks
• Proven experience with NLP, computer vision, or predictive modeling
• Hands-on experience with cloud platforms and ML services
• Strong understanding of MLOps practices and deployment methodologies
• Experience with data engineering and building data pipelines
• Solid understanding of software engineering principles and version control
• Strong problem-solving skills and ability to work on complex, ambiguous challenges
• Excellent communication skills and ability to explain technical concepts clearly

Preferred Qualifications

• Familiarity with SaaS product development and B2B software
• Experience with large language models and generative AI technologies
• Knowledge of document processing, OCR, and form recognition technologies
• Experience with time-series forecasting and anomaly detection
• Background in mobile ML and edge computing
• Contributions to open-source ML projects or published research
• Experience with A/B testing and experimentation frameworks
• Understanding of construction workflows, safety compliance, and project management
• Advanced degree or specialized certifications in AI/ML

Technical Areas

Core Competencies

• Programming in

PHP and JavaScript/Typescript

with knowledge of modern/legacy software development practices
- Machine learning frameworks and libraries for deep learning and classical ML
- RESTful APIs and microservices for model serving

Data & Infrastructure

• SQL and NoSQL databases
• Cloud computing platforms
• Containerization and orchestration technologies
• Distributed data processing frameworks

MLOps & Development

• Version control systems
• ML experiment tracking and model registry platforms
• CI/CD pipelines for model deployment
• Monitoring and observability tools

Development Environment

• Interactive development environments for experimentation
• Project management and issue tracking systems
• Collaborative development tools

Example AI Use Cases You Might Work On

• Intelligent Document Processing:

Automatically extract and categorize information from safety forms, daily reports, and construction documents
- Photo Analysis:

Analyze jobsite photos to track progress, identify safety issues, and detect defects
- Predictive Insights:

Forecast project delays, resource needs, and potential compliance issues
- Smart Search:

Enable natural language search across all project documentation and history
- Automated Report Generation:

Generate intelligent summaries and insights from daily activities
- Equipment Management:

Predict maintenance needs and optimize equipment allocation
- Safety Detection:

Identify potential safety hazards from photos and reports

What We Offer

Compensation

• Competitive salary commensurate with experience

Health & Wellness Benefits

• Comprehensive medical insurance coverage
• Dental benefits
• Vision coverage

Work Environment

• Hybrid work model with flexibility to work from home and in-office
• Modern office workspace designed for collaboration at the AAA Class 320 Granville Street, offering Sky lounge, Harbour Lounge, and state of the art Gym
• Located across street from Canada line, Sky Train, Seabus, Westcoast Express
• Flexibility to balance remote work with in-person team engagement
• Stipend for home office setup

Professional Development

• Access to online learning platforms and AI/ML courses
• Collaborative environment with opportunities to learn and grow
• Exposure to real-world AI applications at scale

Why Join SiteMax Systems?

At SiteMax, you'll have the opportunity to apply artificial intelligence to transform an entire industry. Construction is ripe for AI-driven innovation, and our platform processes massive amounts of data from 150,000+ Jobsites providing rich opportunities to build impactful AI solutions.

As a Senior AI Engineer, you'll work on diverse challenges spanning computer vision, natural language processing, predictive analytics, and more. You'll see your work directly impact how construction professionals manage safety, track progress, and make decisions. With our hybrid work model, you'll enjoy flexibility while collaborating with a talented team that values innovation and practical problem-solving.

If you're passionate about applying AI to solve real-world problems and want to work in an industry where your contributions can make a tangible difference, we'd love to hear from you.

To Apply:

Please submit your resume, a cover letter describing your AI/ML experience and interest in construction technology, and links to relevant projects, publications, or GitHub repositories to.

SiteMax Systems is an equal opportunity employer committed to building a diverse and inclusive workplace.