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.

#J-18808-Ljbffr

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