Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that’s powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
Waabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. We’re looking for someone to make sure it keeps moving quick safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second‑guessing themselves.
You’ll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you’ve got a developer’s instincts, a security mindset, and you’re genuinely curious about what these tools can and can’t be trusted to do, this role is built around you. Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.
Design and implement layered guardrails - enterprise‑level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user’s request. Maintain an inventory of both MCP servers and AI‑to‑service connections and their data access controls, with a clear model of what each one can access and why. Partner directly with users across the organization to bake secure‑by‑default patterns into their AI‑assisted workflows so that written policy doesn’t just sit on a shelf.
Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.
Document guidance and patterns that a non‑security audience can actually follow without needing a security background. Bachelor’s degree in Computer Science or a related field.
Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together. Hands‑on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business‑critical workflows. Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.
Bonus: Exposure to prompt injection, jailbreaking, or other AI/LLM‑specific attack techniques.
The US yearly salary range for this role is: $139,000- $258,000 USD and the Canada salary range for this role is: $118,000 - $168,000 CAD in addition to competitive perks & benefits.
Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Competitive compensation and equity awards. Health and Wellness benefits that include Medical, Vision and Dental coverage.
Unlimited
Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events. Waabi is a technology start‑up building technologies to transform the way the world moves.
We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law.
📌 Applied AI Security Engineer (Toronto)
🏢 Waabi
📍 Toronto