Senior AI Engineer

What You'll Do

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• Architect and implement AI-powered features end-to-end, from model integration and prompt engineering to deployment, monitoring, and iteration
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• Integrate LLM APIs, ML models, and intelligent automation pipelines into scalable, production-grade backend systems
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• Fine-tune and optimize models for performance, reliability, and cost efficiency in live environments
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• Design and build robust APIs, event-driven services, and third-party integrations that support AI-enabled workflows
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• Collaborate with Product to translate business requirements into technical AI solutions, defining scope, complexity, and dependencies
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• Build and maintain data pipelines and MLOps workflows to support model deployment and lifecycle management
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• Contribute to system architecture decisions, integration patterns, and reusable AI frameworks across the platform
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• Partner with data scientists and engineers to ensure smooth, scalable model deployments
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• Produce clear technical documentation, architecture diagrams, data flows, API specs, and AI integration patterns
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• Lead code reviews, enforce best practices in code quality and testing, and mentor engineers across teams
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• Troubleshoot complex production issues across distributed and AI-integrated systems
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• Stay ahead of industry trends in AI/ML tooling, frameworks, and practices

What You Bring

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• 5+ years of experience building scalable, production-grade software systems
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• 2+ years of hands-on AI/ML engineering experience, including deploying models into production environments
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• Bachelor's degree in Computer Science, Data Science, AI, or a related field
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• Strong expertise in Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
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• Solid backend engineering background, API development, microservices, distributed systems, and event-driven architectures
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• Experience integrating LLM APIs and building AI-driven features into web or platform applications
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• Strong proficiency in JavaScript/TypeScript and Node.js, with exposure to GraphQL
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• Deep experience building and consuming RESTful APIs and distributed services
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• Proficiency with SQL and hands-on experience with cloud platforms, GCP or AWS (e.g., S3, Lambda, RDS, EC2)
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• Familiarity with MLOps best practices and tools for model monitoring, versioning, and deployment
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• Strong understanding of software design patterns, system architecture, and data flow design
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• Excellent communication skills with the ability to articulate complex technical concepts clearly
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• Experience working in Agile/Kanban environments with a strong grasp of the full SDLC

Nice to Have

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• Experience with data platforms, analytics systems, or ETL pipelines
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• Familiarity with real-time data processing and messaging systems such as Kafka or SQS
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• Exposure to tax, fintech, or compliance-related product development
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• Experience designing multi-tenant or enterprise-grade SaaS platforms
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• Background in integration-heavy environments such as ERP, financial systems, or external data providers

Salary Range

• $120,000 - $160,000 (CAD)