AI Application Engineer - Red Deer
Core
Training large language models to operate as proactive, multi-step agents and refining complex real-world architectural workflows.
Role type
AI Application Engineer (LLM Orchestration & Evaluation)
Builds
Generative agents capable of planning, coordinating, and optimizing complex real-world workflows
Domain
Artificial Intelligence / Large Language Models / Agent Orchestration
Deliverable
production ML models
Required skills
Backend engineering, AI automation, complex system integration, modular architecture design, multi-step system interaction management, SQL database proficiency, live environment development, privacy exposure detection, authority escalation prevention, indirect prompt injection mitigation
Preferred skills
Multi-stage coordination workflow creation, agent integration with live tools (Supabase, Gmail, APIs), persistent state and session tracking, nuanced failure analysis in agent behavior
Technologies
Java, JavaScript, Python, SQL
Responsibilities
Train large language models to operate as proactive, multi-step agents; design, coordinate, and refine complex real-world architectural workflows; provide human feedback to improve advanced AI system performance; collaborate with leading AI organizations to develop generative agents; evaluate system behavior across live, multi-turn interactions; identify and analyze nuanced failures in agent behavior and system safety