Agent Engineer, LLM agents in production (Remote, paid expert conversation $100–$500) — Mercor via AI Gig Scout

Mercor is looking for engineers who build and operate LLM agents in production and have real visibility into how agents are actually used inside a company. This is a remote, task-based opportunity: applying starts with a short conversational AI interview (no coding, no take-home). If that screen stands out, you are invited to a live 30-minute conversation with the team, paid $100 to $500 on completion of the call depending on depth of experience.

You have probably shipped an agent that real users depended on and been on the hook when it broke; figured out how to tell whether an agent got better or worse after a change; run agents that outlive a single request (scheduled jobs, long-running work, cloud sandboxes); and watched your org build an internal assistant and seen who adopted it.

They are especially interested in the layers most people do not talk about: internal agents wired into company data, shared company memory, reusable skills and playbooks, the tool and MCP surfaces agents call, and how anyone sees what agents did and what they cost. Bring specific stories about agent reliability, evaluation and adoption, and the tradeoffs you made in real systems.

Details and apply link: https://aigigscout.com/jobs/mercor/agent-engineer-list-aaabn-hju3e9hgqimatbyk05?utm_source=kubernetesjobs&utm_medium=jobboard&utm_campaign=aigigscout_growth

Disclosure: posted by AI Gig Scout, an independent listing site (not Mercor). The apply link may be a referral link.