AI Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Canada
Remote
121K-214K Annually
Entry level
Artificial Intelligence • Software
The Role
Build production agentic AI capabilities focused on monitoring, guardrails, evaluation, security, collaboration, and ROI. Perform machine learning tasks including exploratory data analysis, feature engineering, and model fine-tuning. Translate research into scalable software, rapidly prototype features, collaborate cross-functionally, and deliver production-ready code while exploring emerging agentic technologies and AI security techniques.
Summary Generated by Built In
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

Skills Required

  • MSc in Computer Science or a related field with exposure to AI or machine learning
  • Deep expertise in AI and machine learning, software engineering, or AI security
  • Strong programming skills in Python and relevant machine learning or agentic frameworks
  • Ability to work cross-functionally and collaboratively with strong end-to-end ownership
  • Ability to learn additional programming languages and technologies as needed to ship scalable, reliable software
  • PhD in Computer Science or a related field focused on AI, machine learning, or similar
  • Hands-on experience with agent orchestration, agent harnesses, agent teams, prompt injection, red teaming, data poisoning, evasion attacks, secure model deployment, sandboxing, or AI misuse detection and monitoring
  • Experience contributing to open source projects
  • Experience in a fast-paced startup environment
  • Experience in cybersecurity

SandboxAQ Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SandboxAQ and has not been reviewed or approved by SandboxAQ.

  • Fair & Transparent Compensation — Compensation is positioned to benchmark against premium markets with published ranges for many roles, and hiring in Total Rewards indicates formalizing bands and policies. Feedback suggests this positioning aims for competitive, equitable, and transparent pay practices.
  • Healthcare Strength — Health coverage includes medical, dental (with orthodontics), and vision alongside dedicated mental‑health platforms and a wellness stipend. This breadth indicates a robust core healthcare offering.
  • Parental & Family Support — Family support includes 100% paid maternity and paternity leave, family‑planning and fertility benefits, and a family‑care stipend. These elements align with strong support for different family needs.

SandboxAQ Insights

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The Company
HQ: Palo Alto, CA
248 Employees
Year Founded: 2021

What We Do

SandboxAQ is harnessing the exponential power of AI + Quantum (AQ) technology. The inspiration for SandboxAQ and some of the team originated at Alphabet Inc., becoming an independent entity in 2022. Our mission is to develop commercial products for financial services, healthcare, telecommunications, public sector, and other computationally-intensive industries. Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences, and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough physics + AI solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar. We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events, and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM

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