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Salary
≈ $62k – $156k per year (Estimated)
Location
In office (Vancouver)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Sep 15, 2026.

Overview
Company
Impact
Profile match
Centrik 5 QMS is the leading aviation safety, risk, and quality management system trusted by global aerospace leaders.

Join TrustFlight as an AI Software Engineer and be a core member of the AI Team. In this role, you will design, build, and deliver high-impact AI-powered software solutions. You will work closely with the team and cross-functionally across the organization, driving the full lifecycle of AI/ML solutions and collaborating to develop and optimize AI-powered product features and internal tools. This position offers excellent benefits, including generous holidays, healthcare cover, training and development opportunities, and a company pension.

Missions

  • Concevoir, construire et livrer des solutions logicielles alimentées par l'IA, en mettant l'accent sur l'application réfléchie et efficace de l'IA aux problèmes commerciaux réels.
  • Participer à l'ensemble du cycle de vie des solutions IA/ML, de la recherche et du prototypage à la mise en production, à l'évaluation et à la surveillance.
  • Collaborer de manière transversale pour développer et optimiser les fonctionnalités des produits alimentés par l'IA et les outils internes.

Profil recherché

- 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

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

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

- 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

- 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

- 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

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