Software Engineer; AI​/Full Stack

About Us

Trust Flight is an innovative aviation software company that specializes in developing cutting-edge AI, digital workflow, and analytics applications for the aviation industry. Our software empowers many of the world’s airlines, business jet operators, MROs, training organizations, and aviation service providers to enhance safety, streamline operations, and improve overall efficiency.

We are one of the largest independent software providers in aviation, trusted by more than 1,600 organizations in over 120 countries, including many of the world’s top operators.

Why Choose Trust Flight?

✈️ Our Mission:
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 every day for operational safety, compliance management, and mission-critical decision-making.

🚩 Core Values:
Guided by integrity, responsibility, innovation, and excellence, we are committed to empowering our partners to operate with confidence.

Join us in shaping the future of aviation and making an impact through technology.

You will join Trust Flight as a Software Engineer embedded in a product squad delivering AI-powered capabilities for safety- and compliance-critical aviation workflows, reporting to the Tech Lead. This is a full-stack role with a strong emphasis on AI delivery. You will ship end-to-end AI features across web applications, backend services, and a Python-based ingestion and processing pipeline. You will also serve as a liaison with the central AI team, applying shared patterns and integrating future improvements (orchestration, observability, evaluation) into production.

• Own AI reliability and iteration by delivering production-grade AI features that are measurable, debuggable, and safe for compliance-critical workflows.

• Maintain and improve existing AI-powered workflows that drive customer trust and product adoption.

• Implement and evolve agent-style capabilities using the internal agent framework (tool calling, streaming, multi-agent patterns where appropriate).

• Integrate LLM providers used in production:

  • OpenAI

  • Anthropic

  • Google GenAI

• Build tools that connect models to product context, such as:

  • Web search

  • Embeddings-based document querying (retrieval)

  • Document outline/markdown/content extraction for grounding

  • AI-assisted change proposal workflows

• Harden AI behaviour and safety with guardrails, prompt/version management, and privacy-aware handling of customer data.

• Raise quality with automated testing and contribute to end-to-end coverage for critical workflows.

• 3–5 years of professional experience shipping production software, with strong engineering fundamentals (code quality, testing discipline, thoughtful trade-offs).

• Proven experience delivering AI features into production, including working with LLM APIs and building reliable AI workflows (latency, streaming, retries, fallbacks, error handling).

• Experience with AI/agent tooling patterns, such as tool calling, retrieval/embeddings, and evaluation of outputs for quality and regressions.

• Ability to deliver full-stack changes across backend services, web applications, and Python systems.

• Clear communication and ownership, with 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.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

What makes you stand out

• Experience operating and improving Python production services (FastAPI, workers, queue-based processing).

• Experience with document ingestion, PDF processing, OCR/layout analysis, or image processing.

• Experience with AI observability and evaluation (metrics, tracing, cost monitoring, offline evals, regression testing).

• Experience in regulated industries or safety-critical software.

Location

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…