GenAI Engineer - Montréal
Core
Human-in-the-loop training of generative AI agents to improve their reasoning, orchestration, and multi-step execution capabilities in real-world workflows.
Role type
GenAI Engineer (Human Feedback & Agent Training)
Builds
Proactive, multi-step AI agents and complex architectural workflows for innovative companies
Domain
Generative AI / Large Language Models / AI Automation
Deliverable
production ML models
Required skills
Backend engineering, AI automation, complex systems integration, Python, JavaScript, Go, Java, SQL, live non-mocked environment development, multi-turn system interaction management
Preferred skills
Multi-stage coordination workflow design, connecting agents with live tools (Supabase, Gmail, APIs), persistent state and session discovery, privacy leakage detection, authority escalation prevention, indirect prompt injection mitigation
Technologies
Java, JavaScript, Python, SQL
Responsibilities
Provide human feedback to train advanced generative systems, contribute to projects teaching LLMs to operate as proactive multi-step agents, support design and optimization of complex real-world architectural workflows, evaluate system behavior in live environments, collaborate with AI teams to refine orchestration and reasoning capabilities