Software Engineer, TrustFlight

• 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

Desirable

• You will join TrustFlight 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

• Click Apply and send us your resume along with a cover letter. We’d love to learn how your experience and perspective can contribute to creating best-in-class tools and services across the aviation industry
• While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted. No phone calls please