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SandboxAQ

AI Engineer

Canada

Compensation Range: CA$121K - CA$214K · Full-time

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Job details

Pay: Compensation Range: CA$121K - CA$214K
Job type: Full-time
Posting language: English
Posted: Oct 22, 2026

Original job description

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

The Opportunity

The SandboxAQ AI Team Is Looking For An AI Engineer To Help Us Build The Future Of Agentic Collaboration, Trust And ROI. Our Goal Is To Make Agents Work Well On Their Own, In Teams, And With Humans. This Includes The Following Aspects

Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc.
Quality: Measuring ROI of agents and suggesting improvements
Collaboration: Bringing humans and agents together into one place with shared context

A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production.

This is a hands-on role where you’ll break things, fix them and then harden them for good. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles.

We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.

Key Responsibilities

Create new agentic capabilities - frameworks for monitoring, guardrailing, and evaluating them, and to make them work together more effectively.
Perform classical ML tasks - exploratory data analysis, feature engineering and fine-tuning models using the latest frameworks.
Work closely with Product and Research to translate AI research into applicable features and software engineering projects.
Rapidly iterate on prototypes and features based on feedback and evolving product needs.
Contribute production ready code, working across engineering to deliver scalable software.
Stay on the edge of the latest agentic developments and explore new opportunities.

Essential Skills & Experience

MSc in Computer Science or related field with exposure to AI/ML.
Deep expertise in AI/ML, software engineering, or AI security.
Strong programming skills in Python, and relevant ML and/or agentic frameworks.
Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes.
Ability to pick up other programming languages and technologies as required to ship scalable and reliable software.

Highly Desired Skills & Experience

PhD in Computer Science or related field with focus on AI/ML or similar.
Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse.
Experience contributing to open source projects.
Experience in a fast-paced startup environment.
Experience in cybersecurity is a plus, but not essential.

Why Join Us?

We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.

Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

Compensation Range: CA$121K - CA$214K

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More about this job

Responsibilities

Develop agentic capabilities and frameworks for monitoring, guardrailing, evaluating, and coordinating AI agents. Apply machine learning techniques, translate research into product features, iterate on prototypes, and deliver scalable production-ready software.

Requirements

Requires an MSc in Computer Science or a related field with exposure to AI/ML, deep expertise in AI/ML, software engineering, or AI security, and strong Python programming skills. Candidates should demonstrate collaborative ownership and the ability to deliver real-world outcomes; a PhD and hands-on experience with agent systems or AI security are highly desired.

Skills

Artificial Intelligence
Machine Learning
Software Engineering
Python
Agentic Systems
Agent Orchestration
AI Security
Red Teaming
Prompt Injection
Model Monitoring
Guardrails
Model Evaluation
Exploratory Data Analysis
Feature Engineering
Model Fine-Tuning
Cross-Functional Collaboration

Benefits

Medical, Dental, And Vision Coverage
Retirement Savings With Company Matching
Paid Parental Leave
Family-Building Benefits
Flexible Paid Time Off
Company-Wide Seasonal Breaks
Flexible Work Arrangements
Professional Development Opportunities
Equity Participation
Performance-Based Incentives Or Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Quantitative Models
Agentic Collaboration
AI Agents
Agent Orchestration
Agent Harnesses
Agent Teams
Python
AI Security
Cybersecurity
Red Teaming
Jailbreaking
Prompt Injection
Data Poisoning
Evasion Attacks
Secure Model Deployment
Sandboxing
AI Misuse Detection
Monitoring
Guardrails
Model Evaluation
Exploratory Data Analysis
Feature Engineering
Model Fine-Tuning
Production Software
Open Source
Product Development
Research
Scalable Software

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