The Opportunity
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.
Key Responsibilities
- 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.
Who You Are
- 2 - 8+ 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.
Details
Employment Type:
Full-Time
Location:
Toronto—Hybrid
About BorderPass
BorderPass is a rapidly growing tech company building the world’s largest global mobility platform. Increasing trust and transparency in the immigration and mobility space, our innovations empower newcomers, schools, and employers with accessible, easy-to-use, and responsible solutions.
