Agent Engineer | $100-$500 One-Time Remote
Overview
Mercor pays LLM agent engineers $100-$500 for a 30-minute conversation about their production systems. The engagement is task-based and remote, with no coding test or take-home assignment. Conversation topics include internal monoagents wired to company data, shared company memory, reusable skills and playbooks, and the tool and MCP surfaces agents call. The focus is on how engineers measure reliability, evaluate changes, and track adoption and cost.
What You'll Do6
- 1Describe a production agent you shipped and supported when it failed.
- 2Explain how you determined whether a change improved or degraded agent behavior.
- 3Discuss your experience with scheduled jobs or long-running agent workflows in cloud sandboxes.
- 4Detail how your organization built an internal assistant and which user groups adopted it.
- 5Share specific tradeoffs you made around tool access, memory, or MCP integrations.
- 6Walk through how you monitored agent actions and associated costs.
Requirements6
- 1Shipped an LLM agent that real users depended on and took responsibility for when it broke.
- 2Built or used methods to evaluate agent performance after changes.
- 3Operated agents that run beyond a single request, such as scheduled jobs or long-running work.
- 4Observed internal assistant adoption patterns, including non-adoption.
- 5Familiarity with internal monoagents, shared company memory, reusable skills and playbooks, or MCP surfaces.
- 6Ability to articulate reliability and evaluation tradeoffs in real systems.
Who Should Apply
The ideal candidate has at least one production agent story with real users and real breakage. This role suits engineers who can explain how they evaluated agent quality, ran long-lived workflows, and handled adoption resistance. Less suitable for this role are people with only demo or prototype experience. Candidates often score low when they describe systems without specific failure modes, cost data, or user feedback. Another frequent miss is failing to name the actual tools, memory layers, or MCP endpoints involved.
Salary Insight
Mercor pays $100 to $500 for the completed 30-minute conversation, with no additional compensation. The amount varies by the depth of experience you demonstrate, and it sits near the range for paid expert interviews in the AI engineering field. Treat it as an interview honorarium, not an employment rate.
Location
Required Skills
Application Tip
Prepare one specific war story about an agent failure you debugged in production. Include the evaluation metric you used to confirm the fix, the cost or latency impact, and how many users were affected. Mention the exact MCP tools or company memory systems involved.
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1Application received
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2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
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