AI Software Engineer

Trust Flight 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:
Trust Flight (technology), Baines Simmons (training and expertise), Redline Assured Security (security), and Kenyon International (emergency response).

We’re entering a new phase of growth. Smart Suite, our AI-powered agentic platform, is redefining how aerospace organisations manage safety, compliance, and operational risk. Our go-to-market needs to keep pace.

️ 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 daily, making aviation safer and more efficient.

️ 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 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.

  • 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…