AI Software Engineer

Drive the full lifecycle of AI/ML solutions, from research and prototyping through production deployment, evaluation, and monitoring.

Design and implement scalable, maintainable systems with strong software engineering fundamentals, using sound architecture, infrastructure, and design patterns.

Help shape the AI team's software engineering practices by contributing to technical direction, improving implementation approaches, and ensuring solutions are built in a reliable, maintainable, and scalable way.

Collaborate cross-functionally to develop and optimize AI-powered product features and internal tools. Build, orchestrate, and integrate LLM-based systems into production applications. Apply AI patterns and frameworks such as RAG, skills, document extraction, and workflow orchestration where they are the right fit. Refine AI use cases through prompt engineering, evaluation, guardrails, and orchestration strategies.

Build, orchestrate, and integrate LLM-based systems into production applications.

Apply AI patterns and frameworks such as RAG, skills, document extraction, and workflow orchestration where they are the right fit.

Refine AI use cases through prompt engineering, evaluation, guardrails, and orchestration strategies.

Assess where AI can streamline or improve existing processes, and identify cases where conventional software solutions are a better choice.

Support AI adoption across the organization by helping teams understand, use, and implement AI effectively in their day-to-day work.

Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related field, or equivalent practical experience.

2–3+ years of professional experience shipping production software, with strong engineering fundamentals.

Strong proficiency in Python and JavaScript/TypeScript, with the ability to deliver full-stack changes across backend services, web applications, and Python-based systems.

Experience building and shipping production-quality software with attention to reliability, maintainability, testing, and performance.

Experience delivering AI features into production, including working with LLM APIs and building reliable AI workflows with considerations such as latency, streaming, retries, fallbacks, and error handling.

Strong understanding of the capabilities, trade-offs, and limitations of modern AI systems.

Clear communication, strong ownership, and the ability to operate effectively in a small team.

A growth mindset, with a willingness to learn, adapt, and continuously improve technical and product skills.

Strong background in software development, with experience contributing across the product and engineering lifecycle.

Experience integrating and implementing AI features, automations, or products in a professional environment.

Comfort working with LLM provider SDKs, APIs, and common abstractions such as PydanticAI, LangChain, or LiteLLM.

Experience collaborating with cross-functional stakeholders to gather requirements and develop practical solutions.

Experience leading projects, mentoring teammates, or helping raise engineering standards.

See Your Impact : Your contributions directly enhance the safety and efficiency of aviation operations, affecting hundreds of thousands of passengers and crew every month.

Build and Create : Be part of an environment where you'll have the freedom to innovate, build, and create solutions that define the future of digital aviation.

Growth Opportunity : Join us at an inflection point as we scale our revenue growth using cutting-edge AI tools and SaaS best practices.

Health & Wellness : Comprehensive benefits package including health and dental benefits. Paid time off plus an extra day off to celebrate your birthday.

Invest in your future : Take advantage of our company contribution to pension/RRSP matching program to grow your savings while you work.

Professional Growth : As a fast-growing company, we offer incredible opportunities for career advancement and skill development.

Competitive salary range : We place huge importance on the contribution and experience you bring to the team. The base pay offered is based on location and may vary depending on skills, job related knowledge, experience and internal equity. The expected base salary range for this role is $110,000 to $160,000 CAD, depending on skills and experience. $110K–$120K: Solid software engineering experience with some hands-on experience building or integrating AI/LLM-powered features. Candidates can contribute effectively to production software and have practical familiarity with AI-enabled workflows, though they may not yet have deep experience delivering complex AI systems. $120K–$130K: Strong software engineering experience with solid applied AI experience, or stronger AI experience paired with solid software engineering fundamentals. Candidates can design, build, and ship production software that includes AI-powered features, applying sound judgment across reliability, maintainability, and user impact. $130K–$145K: Proven ability to design, build, and deliver production-grade systems that combine strong software engineering fundamentals with applied AI expertise. Candidates demonstrate end-to-end ownership, sound architectural judgment, and practical depth across backend/application engineering and AI systems. $145K–$160K: Senior-level ability to lead the design and delivery of production-grade AI-enabled systems. Candidates bring deeper expertise across both software engineering and AI, with the flexibility for one area to be especially strong while the other remains credible and production-ready. They can make robust technical decisions in regulated or safety-critical environments and mentor others. Final compensation will reflect your experience, technical depth, and overall impact.