Applied AI Engineer - Winnipeg
Core
Human-in-the-loop training and evaluation of autonomous AI agents and large language models to improve their ability to execute complex, multi-step real-world workflows.
Role type
Applied AI Engineer (Human Feedback & Agent Orchestration)
Builds
Proactive, multi-step autonomous agents for enterprise clients
Domain
Generative AI, Large Language Models (LLMs), Agent Orchestration
Deliverable
production ML models | research
Required skills
Backend engineering, AI automation, system integration, Python, JavaScript, Go, Java, SQL, live environment operations, multi-step task coordination, agent safety analysis (privacy leakage, prompt injection), session state management
Preferred skills
Experience with Supabase, Gmail APIs, MEMORY.md for agent progress monitoring
Technologies
Java, JavaScript, Python, SQL, Supabase, Gmail APIs, MEMORY.md
Responsibilities
Provide human feedback on AI agent performance to train advanced generative systems, Teach autonomous agents to manage multi-step real-world workflows, Design and optimize complex architectural processes for agent coordination, Analyze system behavior in live environments to identify failures affecting safety or reliability, Evaluate agent interactions to refine large language model operations, Support integration of agents with live tools and APIs
Seniority
Mid-level, hands-on IC