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

Solid 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.

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