TrustFlight is the Aerospace Safety Intelligence Platform - the only company in aviation that integrates safety and security technology, world-class training and consulting, and emergency preparedness and response into a single, connected platform. We serve 1,600+ organisations across 120 countries through four capability pillars: TrustFlight (technology), Baines Simmons (training and expertise), Redline Assured Security (security), and Kenyon International (emergency response).

Smart

Suite, our AI-powered agentic platform, is redefining how aerospace organisations manage safety, compliance, and operational risk. To revolutionize aviation by delivering digital workflow solutions that enhance safety, streamline operations, and inspire confidence across the industry.

Impact: Over 200,000 users rely on our systems daily, making aviation safer and more efficient. You will join TrustFlight as an AI Software Engineer and serve as a core member of the AI Team. In this role, you will work closely within the team and cross-functionally across the organization to design, build, and deliver high-impact AI-powered software solutions.

This is an opportunity for a self-motivated, creative engineer who enjoys taking ideas from early exploration through technical planning, implementation, deployment, and iteration in production. The role is software engineering first, with a strong emphasis on applying AI thoughtfully and effectively to real business problems. You will help build full-stack AI applications, backend services that provide AI capabilities to other products and users, and integrations that embed AI directly into existing applications and workflows.

You will also help strengthen the AI Team’s engineering approaches, contribute to sound architectural and implementation decisions, and support AI understanding across the organization by sharing practical use cases, guidance, and best practices. 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. 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.

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. 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.

Experience leading projects, mentoring teammates, or helping raise engineering standards. This role is based in our Vancouver office. This is an on-site role with room for flexibility, because we know life doesn't always fit a 9-to-5 mould.

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. Comprehensive benefits package including health and dental perks. Take advantage of our company contribution to pension/RRSP matching program to grow your savings while you work.

Competitive salary range : 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. $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 robust 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. No phone calls please.

We work together to create the most talented team that celebrates inclusivity, diversity and equality in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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