Manager, AI Engineering

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead and expand a small, highly skilled team while remaining actively engaged in hands-on engineering and research.

• Define technical strategy, deconstruct ambiguous challenges, create practical plans for swift, high-quality execution, and foster a culture of ownership and excellence.

• Develop agentic capabilities, including frameworks for monitoring, guiding, and assessing agents.

• Keep abreast of advancements in agentic technologies and uncover new opportunities.

• Conduct exploratory data analysis, feature engineering, and fine-tuning of models.

• Quickly iterate on prototypes and features based on feedback and evolving product requirements.

• Collaborate closely with Product and Research teams to translate AI research into actionable features and software engineering projects.

• Contribute production-ready code and technical designs across engineering disciplines to deliver scalable and reliable software solutions.

• Assist in setting technical direction, raising quality standards, mentoring team members, and transitioning from research insights to product impact.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related field with knowledge of AI/ML.

• In-depth expertise in AI/ML, software engineering, or AI security.

• Proficient programming skills in Python and relevant ML and/or agentic frameworks.

• Proven ability to work collaboratively across functions and with a high level of end-to-end ownership, achieving tangible real-world results.

• Capable of learning additional programming languages and technologies as necessary to deliver scalable and dependable software.

• Practical 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, and detection and monitoring for AI misuse.

• Experience contributing to open-source projects.

• Familiarity with fast-paced startup environments.

• Candidates must not participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea.

• Must be legally authorized to work in the country where the position is located.

• A PhD in Computer Science or a related field focusing on AI/ML or similar is highly preferred.

• Experience in cybersecurity is advantageous but not mandatory.

🏝️ Benefits

• Performance-based incentives or bonuses (where applicable).

• Equity participation.

• Comprehensive medical, dental, and vision coverage for employees and their dependents with substantial employer premium contributions.

• Retirement savings plan with company matching.

• Paid parental leave.

• Inclusive family-building benefits.

• Fully remote work options.

• Flexible paid time off.

• Company-wide seasonal breaks.

• Support for flexible work arrangements.

• On-the-job development opportunities.

• Cross-functional collaboration.

• Access to internal learning and development programs.