Job Opportunities API

Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth. Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:2093ca9d-d6bb-4dac-9795-2b28cd5013d9-1" data-testid="conversation-turn-4" data-scroll-anchor="true" data-turn="assistant"> Eligibility Notice This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered. We appreciate your interest and encourage you to apply to roles that match your location. Nexaminds is looking for an  AI Validation Engineer to lead the validation and quality strategy for AI-powered systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) applications, and agent-based workflows. The ideal candidate has deep experience in Quality Engineering, AI evaluation, and automated validation frameworks, with a strong understanding of how to measure, monitor, and improve the reliability of non-deterministic AI systems. This role focuses on building enterprise-grade AI validation capabilities, designing automated evaluation pipelines, implementing AI guardrails, and partnering closely with engineering, AI/ML, and data governance teams to ensure AI-powered solutions are accurate, safe, and production-ready. Location: MEXICO (Remote ) Qualifications we are looking for: 7+ years of experience in Quality Engineering, Software Development, or a related technical discipline, including recent hands-on experience with AI/ML or LLM-based systems. Experience designing validation or evaluation frameworks fo r non-deterministic or probabilistic systems such as Large Language Models (LLMs) or Machine Learning applications. Strong understanding of Retrieval-Augmented Generation (RAG), agentic workflows, and LLM evaluation concepts, including hallucination detection, groundedness, relevance, and consistency. Hands-on experience with Large Language Models (LLMs) and prompt engineering, including prompt design, optimization, and regression validation. Practical experience using Claude Code, Claude SDK, or similar AI-assisted development platforms and agentic coding tools. Proficiency with Node.js for building automation tools, validation pipelines, and engineering utilities. Experience working with MongoDB to store, manage, and analyze evaluation results, validation data, or AI output logs. Experience integrating automated validation processes into CI/CD pipelines . Experience designing semantic validation approaches that evaluate meaning, relevance, and contextual accuracy beyond traditional software testing. Strong understanding of AI quality metrics, confidence scoring, output consistency, and production monitoring. Solid knowledge of data validation principles, including schema validation, business rule compliance, and data consistency. Excellent cross-functional collaboration skills, with experience partnering across Quality Engineering, AI/ML Engineering, Software Engineering, and Data Governance teams. Nice to have: Experience with prompt regression testing tools or frameworks. Familiarity with AI governance, fairness, or bias-detection practices. Experience with tools su