LLM Systems Engineer - Fully Remote | Upto $500/task Task based

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Agent Engineer Type: Contract Compensation: $100–$500/hour Location: Remote Role Responsibilities - Build and operate LLM agents in production environments. - Evaluate agent performance and determine improvements after changes. - Manage long-running agents, including scheduled jobs and cloud sandboxes. - Analyze adoption patterns of internal assistants within organizations. - Focus on internal monoagents, shared memory, and reusable skills. - Ensure visibility into agent actions and associated costs. Qualifications Must-Have - Experience shipping agents used by real users. - Ability to assess agent performance improvements. - Knowledge of long-running work and cloud sandboxes. - Insight into internal assistant adoption within organizations. Interview Process - Initial short conversational AI interview ; no coding or take-home tasks. - Live 30-minute conversation with our team. - Compensation of $100 to $500 for the conversation, based on experience. Application Process (Takes 20–30 mins to complete) - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: - For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas