Applied AI Engineer

Location: Toronto, Canada (Remote-Friendly)

Team: Development

About the Role

As an Applied AI Engineer at BorderPass, you'll take ownership of high-impact projects that shape the future of cross-border technology. You'll work across the stack to design and build products where machine learning isn't just a feature - it's at the core. From developing new AI-native workflows to tuning retrieval systems, you'll collaborate closely with legal, product, and engineering to bring intelligent, pragmatic solutions to life.

We're looking for engineers who thrive in zero-to-one environments, love solving hard technical challenges, and care deeply about building trustworthy, high-performance AI systems.

What You'll Do

• Design and execute experiments to advance our retrieval-augmented generation (RAG) and multi-step AI pipelines.
• Prototype and launch new AI-native product features - working cross-functionally with legal and marketing stakeholders.
• Build intelligent, scalable workflows for long-running and procedural AI tasks (e.g., filings, document parsing, compliance checks).
• Balance state-of-the-art research with engineering pragmatism - streamlining AI for real-world applications.

Projects You Might Work On

• Citation Quality: Build tools to evaluate and improve document citation accuracy. Create a dataset of ground-truth citations and refine our core evaluation pipeline.
• RAG Optimization: Improve answer quality over large, complex corpora - like massive spreadsheets or immigration/tax codes.
• Multi-Model AI Systems: Design systems that integrate and orchestrate multiple LLMs (including fine-tuned/custom models) to solve domain-specific tasks.
• AI Workflows: Help architect full-stack solutions for cross-border legal services - including automated filings and tax evaluations.

What We're Looking For

• 2+ years of hands-on experience in a software engineering role, ideally at a fast-moving startup or on an AI-driven product.
• Proven ability to ship machine learning-powered features at scale - from offline data collection to live product experiments.
• Experience with full-stack or backend systems that support multiple product lines.
• Bonus: prior exposure to LLMs, vector databases, retrieval systems, or working in regulated domains like legal, finance, or govtech.
• Startup grit - you're comfortable wearing many hats and building under uncertainty.

Why BorderPass

We're reimagining how people move across borders - making global mobility safer, smarter, and more human. You'll work on problems that matter, alongside a team that values ownership, velocity, and deep care for the mission.