Senior Software Engineer — AI Systems & Architecture

Crossing Hurdles; Canada; On-site; CAD 90,000 - 120,000; Full time

Job summary

Crossing Hurdles is seeking a senior software engineer in Canada to evaluate and debug advanced code from AI models. You'll assess the quality of AI outputs while pushing the capabilities of systems through high-level designs and algorithmic challenges.

The ideal candidate has strong professional experience in software engineering, with a proven track record in writing, reviewing, and debugging production-level codebases. Excellent written communication and independent working skills are required for success in this role.

Qualifications

• Strong professional software engineering experience at a senior level.
• Strong hands-on coding experience in major programming languages.
• Proven experience writing, reviewing, and debugging complex, production-level codebases.

Responsibilities

• Evaluate, review, and debug advanced code and complex system architectures generated by frontier AI models.
• Assess the quality of AI outputs for correctness, efficiency, and scalability.
• Work through high-level system design and complex algorithmic problems.

Skills

Software engineering experience

Hands-on coding experience

Understanding of data structures

Understanding of algorithms

Communication skills

Job description

• Evaluate, review, and debug advanced code and complex system architectures generated by frontier AI models.
• Assess the quality of AI outputs for correctness, efficiency, scalability, and adherence to industry best practices.
• Work through high-level system design, distributed systems, and complex algorithmic problems to push model capabilities forward.
• Provide clear, structured written feedback to improve the model's logic, architectural decisions, and engineering judgment.
• Work completely independently and asynchronously, following detailed technical guidelines.

Qualifications

• Experience: Strong professional software engineering experience at a senior level.
• Technical Skills: Strong hands-on coding experience in major programming languages, with a deep, authoritative understanding of data structures, algorithms, microservices, and system design.
• Code Quality: Proven experience writing, reviewing, and debugging complex, production-level codebases.
• Communication: Strong written communication skills and a high attention to detail.

Application Process

• Easy Apply on LinkedIn
• Participate in the self-paced technical assessment and onboarding stage