Multi-Agent Systems Engineer
Core
Providing high-quality human feedback on AI agent behavior to train advanced generative systems and improve their reliability in real-world scenarios.
Role type
Human-in-the-loop AI training specialist (backend engineering background)
Builds
Proactive, multi-step autonomous agents that design, coordinate, and optimize complex real-world workflows
Domain
Artificial Intelligence / Generative Systems / Backend Engineering
Deliverable
research | client delivery
Required skills
backend engineering, AI automation, complex systems integration, multi-stage coordination workflows, live system integration, persistent state management, security vulnerability identification (privacy leaks, privilege escalation, prompt injection), SQL databases, multi-turn system interactions
Preferred skills
experience with Supabase, Gmail, and other APIs, experience with MEMORY.md for session tracking
Technologies
Java, JavaScript, Python, SQL
Responsibilities
Provide high-quality human feedback on AI agent behavior, support development of proactive multi-step agents, evaluate system performance in real-world scenarios, analyze intricate system interactions, collaborate with leading AI organizations
Seniority
Mid-level (2+ years experience)