Senior Software Engineer, AI Product Engineering

About Safe Fleet

Role summary

AI product engineering

• Design, develop, and deploy scalable, secure, production-ready AI features and shared AI services.
• Apply generative AI, machine learning, deep learning, and computer vision to product challenges; build with LLMs, RAG, agents, and workflow orchestration.
• Develop backend services and APIs, and implement AI evaluation, monitoring, and optimization for reliability, performance, and cost efficiency.
• Contribute reusable AI architecture patterns, technical prototypes, and production delivery.

AI-native engineering and collaboration

• Apply AI-native practices across the software development lifecycle, leveraging coding agents, Spec-Driven Development, and automation.
• Develop and use agents, reusable skills, and automated workflows for implementation, testing, code review, and delivery while maintaining quality, security, and maintainability.
• Collaborate with product and engineering teams; participate in architecture discussions, design, code reviews, and technical decisions.
• Mentor engineers, share technical knowledge, contribute to engineering standards, and stay current with AI technologies and practices.

Required qualifications

• At least 6 years of professional software engineering experience, including system design and software architecture.
• Production experience developing and deploying AI-powered applications or product features.
• Experience with modern AI platforms, LLMs, transformer models, prompt engineering, RAG, agents, and workflow orchestration.
• Knowledge of data science and machine learning fundamentals, including model evaluation and performance.
• Experience building backend systems, APIs, and scalable cloud solutions using AWS, Azure, or GCP.
• Proficiency with AI coding agents and hands-on experience with AI-native engineering, Spec-Driven Development, and Agentic SDLC.
• Strong problem-solving, communication, and cross-functional collaboration skills.

Preferred qualifications

• Commercial software AI feature experience; computer vision, image/video analytics, deep learning, or predictive machine learning.
• Experience with local or self-hosted models, Hugging Face, MCP, agent orchestration frameworks, or production ML pipelines.
• Experience building custom coding agents, reusable agent skills, automated verification, CI/CD integrations, or shared AI services.
• Familiarity with Agile methods or regulated and security-conscious environments.

Compensation

• Salary range is CAD 120,000–140,000 per year, plus a 12.5% bonus.
• Final offer depends on skills, experience, and alignment with the role; higher offers reflect qualifications or expertise above baseline expectations.