Principal Software Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $155k - $175k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Pearson VUE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

📋 Description

• Own the end-to-end technical design connecting structured learning content, learner and performance data, and adaptive learning experiences • Define shared contracts between content, data and adaptive services • Advise on architecture choices for high-profile adaptive features and make speed, quality and long-term platform health tradeoffs explicit • Act as technical point of contact for cross-program escalations and drive them to resolution • Design and build LLM- and agent-driven capabilities that personalize learning paths for K-12 students • Establish evaluation suites and quality gates for AI-generated content and recommendations, covering accuracy, pedagogy, safety and bias • Lead evaluation of new models, frameworks and tools, and pilot retrieval, tool-using agents and MCP servers • Partner with curriculum and learning design experts • Build prototypes with learners and educators and harden successful concepts into production-grade services • Reduce systemic risk through refactoring, hardening and observability • Safeguard student data security and privacy • Model AI-first engineering and help teams adopt it • Review critical designs and code across teams • Facilitate knowledge transfer between programs • Shape learner model, recommendation, multimodal generation, teacher insights, content repository, authoring, publishing, data pipeline, API and AI services

🎯 Requirements

• 8-12 years of software engineering experience, including technical leadership of complex, cross-team initiatives • Hands-on experience building production applications with large language models and AI agents, including prompt and retrieval design, tool use and evaluation • Experience designing data models and pipelines that turn learner or user behavior into signals a product can act on • Experience with structured content models, content authoring tools or content delivery platforms • Strong cloud-native engineering background, with AWS preferred, API-first and event-driven design • Background in education, teaching, learning design or ed-tech is a strong plus • Track record of turning a rough proof of concept into a durable platform that others build on • Relevant degree in Computer Science or equivalent practical experience • Knowledge of adaptive learning design, including learner mastery modeling and personalized sequencing • Ability to evaluate AI-generated learning content and recommendations for accuracy, pedagogy and safety • Ability to model structured curriculum content so it can be reused, assembled and generated

🏖️ Benefits

• Eligibility to participate in an annual incentive program • Benefits information provided by Pearson

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