Pearson VUE
1001 - 5000 employees
Founded 1994
📚 Education
🛍️ eCommerce
☁️ SaaS
Education • eCommerce • SaaS
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.
Senior Software Engineer – Backend/Platform Engineering, AI-First, GenAI, RAG
Job not on LinkedIn
🕒 March 12
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Pearson VUE
1001 - 5000 employees
Founded 1994
📚 Education
🛍️ eCommerce
☁️ SaaS
Education • eCommerce • SaaS
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
• Build and maintain backend services and REST APIs that support AI functionality • Implement RAG pipelines and integrate with enterprise data sources where required • Design for reliability, performance, cost, and observability (these are production roles) • Implement strong engineering practices: testing, CI/CD, security-by-design, documentation • Use AI in your daily workflow (agentic coding assistants, AI‑assisted debugging/testing)
🎯 Requirements
• Strong experience building distributed backend services and APIs • Hands‑on experience with AI/LLM integration in production or building systems that consume/produce AI outputs • Understanding of prompting/output validation and practical AI trade‑offs (latency, cost, quality) • Comfort working in cloud environments (Azure and/or AWS)
🏖️ Benefits
• Health insurance • Flexible work arrangements • Professional development opportunities
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