OpenClaw Agent Developer
Core
Human-in-the-loop training and evaluation of autonomous AI agents to improve their orchestration, task execution, and complex workflow design capabilities.
Role type
Senior AI Agent Developer / Human Feedback Engineer
Builds
Proactive, multi-step AI agents capable of designing, coordinating, and optimizing complex real-world architectural workflows.
Domain
Generative AI, Large Language Model (LLM) Orchestration, Autonomous Systems
Deliverable
production ML models | research
Required skills
Backend engineering, AI automation, complex systems integration, multi-turn system interactions, SQL databases, live non-mocked environment development, technical judgment on system behavior, privacy and security analysis (prompt injection, authority escalation)
Preferred skills
Multi-stage coordination workflow design, connecting agents with live tools (APIs, Supabase, Gmail), persistent state and session tracking using MEMORY.md
Technologies
Java, JavaScript, Python, SQL
Responsibilities
Provide human feedback on AI agent behavior to train advanced generative systems, analyze system interactions and provide detailed feedback on complex behaviors, contribute technical judgment to improve autonomous system operation, support development of agents that design and optimize complex workflows, work with leading AI organizations to strengthen LLM performance in orchestration and task execution