Lead AI engineering at SandboxAQ by building agentic systems with Python, machine learning, and production software expertise. This role is fully remote.

As Manager, AI Engineering, you will lead a small technical team while remaining hands-on with AI research and engineering. Apply agent orchestration, monitoring, guardrails, feature engineering, and model fine-tuning to create reliable capabilities. You will translate research into applicable software projects and production features.

Key Responsibilities:

- Lead and grow a small technical engineering team
- Set technical direction for ambiguous agentic problems
- Create monitoring, guardrailing, and agent evaluation frameworks
- Perform exploratory data analysis and model fine-tuning




- Ship production-ready code and technical designs

Requirements:

- Bachelor's degree in Computer Science or related field
- Deep expertise in AI/ML, software engineering, or AI security
- Robust Python programming and relevant framework experience
- Cross-functional collaboration with end-to-end ownership
- Ability to learn technologies for scalable software delivery

Shape agentic systems through hands-on leadership, Python engineering, research translation, and production-focused AI development at SandboxAQ.

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📌 Manager AI Engineering Agentic Systems (Toronto)
🏢 SandboxAQ
📍 Toronto