Senior Software Engineer - AI

TRSS; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leader in legal technology solutions in Toronto is looking for a skilled AI Project Lead to drive the technical execution of projects and optimize AI performance. This hybrid position offers flexible arrangements and a chance to contribute to meaningful projects that uphold justice and transparency. Ideal candidates have 3+ years in software engineering, proficiency in Python and C#, and experience with AI frameworks and cloud platforms. Join an award-winning culture that prioritizes career development and work-life balance.

Benefits

Comprehensive benefits

Flexible vacation

Mental health days

Career development opportunities

Qualifications

• 3+ years of experience in software engineering, at least 2 years focused on AI/ML.
• Strong understanding of machine learning principles and system design.
• Experience integrating AI models into production systems using APIs.

Responsibilities

• Lead the technical execution of AI projects, ensuring successful delivery.
• Optimize AI performance for accuracy and efficiency.
• Deliver scalable AI/ML solutions implementing best practices.

Skills

Python

C#

AI/ML frameworks

Cloud platforms

Containerization tools

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

Employer Industry: Legal Technology Solutions

Why consider this job opportunity:

• Hybrid work model with flexible arrangements (2-3 days a week in the office)
• Work from anywhere for up to 8 weeks per year, promoting work-life balance
• Comprehensive benefits including flexible vacation, mental health days, and retirement savings
• Opportunities for career development and continuous learning through structured programs
• Award‑winning culture recognized for inclusion, flexibility, and social impact initiatives
• Chance to contribute to meaningful projects that uphold justice and transparency

What to Expect (Job Responsibilities):

• Lead the technical execution of AI projects, making architecture decisions and ensuring successful delivery
• Optimize AI performance using advanced techniques for accuracy and efficiency
• Deliver scalable AI/ML solutions while implementing best practices in MLOps and LLMOps
• Design and implement continuous monitoring of applications to support data‑driven insights
• Act as a thought leader in AI, contributing to internal discussions and influencing technical direction

What is Required (Qualifications):

• 3+ years of experience in software engineering, with at least 2 years focused on AI/ML
• Proficiency in Python, C#, and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow)
• Strong understanding of machine learning principles and system design
• Experience integrating AI models into production systems using APIs and data pipelines
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)

How to Stand Out (Preferred Qualifications):

• Experience with AI‑driven systems, agent‑based architectures, or AI APIs from providers like OpenAI and Anthropic
• Knowledge of vector databases, embeddings, or search‑based AI
• Domain knowledge in legal, tax, or accounting
• A portfolio of projects demonstrating creativity and skill with LLMs

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