A fixed-scope consulting service that turns one multi-step internal workflow into a tested, tool-connected AI agent.
Added Aug 24, 2026
High opportunity (80%)
Companies want AI agents that can reason across multiple steps, use internal tools, retain relevant context, and make bounded decisions. Implementing these systems requires workflow design, model selection, backend integration, evaluation, and deployment expertise that many internal teams are currently trying to hire.
Offer a fixed-scope implementation package covering workflow selection, agent architecture, tool integration, memory design, evaluation, and production deployment. Begin with one bounded internal workflow and deliver the working agent, test suite, operational safeguards, documentation, and staff handover.
Multiple employers are hiring specifically for agent orchestration, tool use, model strategy, and production data pipelines. This suggests that demand has moved beyond experimentation while experienced implementation capacity remains scarce.
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Production AI Agent Engineering: You have shipped AI systems that serve real users at scale. You understand the engineering challenges that make agent systems different from conventional software, including context management, model selection and routing, cost engineering, tool use and agent augmentation, and evaluation
A growing share of Mercor's core work runs on agents: systems that source, screen, match, and support experts with far less human intervention than the workflows they replace. You'll design and ship the services those agents run on—orchestration, tool interfaces, evaluation and guardrail layers, and the data models that keep agent decisions auditable and reversible. This is production agent engineering at real volume, against a network of tens of thousands of experts and the demands of the world
You'll build our AI agent stack: From the tools, skills, and subagents, plus the MCP infrastructure that connects them. The work spans agent workflows, memory and context management, sandboxed execution, and agent observability - you'll work where your skills count most. You own agentic systems end-to-end and work directly with founders and customers.
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