This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an AI Evaluation Engineer based in Mexico.

As a founding AI Evaluation Engineer, you will design and build the evaluation, testing, and observability infrastructure that ensures production-grade AI agents perform reliably, safely, and efficiently. You will develop automated testing systems for complex reasoning, multi-turn conversations, and agent interactions involving APIs, databases, and code execution. Working across AI engineering, software testing, and infrastructure, you will create scalable evaluation pipelines that go beyond traditional QA and manual prompt testing. You will establish robust regression testing, statistical evaluation methods, and adversarial scenarios to identify weaknesses before deployment. This is an opportunity to take ownership of an evaluation architecture from the ground up while working with modern AI technologies in a fully remote, globally distributed environment. Your work will directly contribute to the reliability, security,



and continuous improvement of advanced AI systems.

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Accountabilities

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Design, build, and maintain automated CI/CD testing pipelines to validate AI agent behavior before deployment and throughout the development lifecycle.

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Develop and maintain golden datasets containing regression prompts, edge cases, and synthetic scenarios to measure agent accuracy, safety, performance, and latency.

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Implement fast, cost-effective, deterministic evaluation checks before introducing LLM-as-a-judge approaches, including JSON schema validation, regular expressions, API status checks, and embedding similarity.

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Create comprehensive test suites for multi-turn agent conversations, evaluating context retention, state consistency, reasoning behavior, and safeguards against infinite tool-calling loops.

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Design and implement adversarial testing scenarios to assess resilience against prompt

📌 AI Evaluation Engineer (México)
🏢 Jobgether
📍 México