Senior Software Engineer

Pearson VUE

. Own agentic solutions that reinvent how Pearson works as part of the AgentOps team in the Office of the CTO .

Posted 11/5/2026full-timeUnited StatesSenior💰 $95,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying production-grade agentic applications, with a strong focus on full-stack engineering and system design. Proficient in utilizing agentic frameworks and tools to deliver enterprise capabilities while ensuring robust architecture and testing discipline.

Highest-signal resume keywords

Production Software DevelopmentFull-Stack EngineeringAgentic Frameworks ExperienceGenerative UI DevelopmentEnterprise Delivery Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptReactNext.jsNodePythonAgentic ApplicationsMulti-Agent SystemsSpeech-to-Speech ModelsData GovernanceSystem Design

Soft Skills

Customer-Facing CommunicationCollaborationDiscovery and Scoping

Tools & Technologies

Claude CodeCursorCodexAntigravityLangChainLangGraphDeep AgentsCrewAIMicrosoft Agent FrameworkVercel AI SDK

Industry Keywords

AgentOpsMCP ToolsHuman-in-the-Loop InteractionObservabilityReliability

Tech Stack

Tools & technologies

JavaScriptNext.jsNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Own agentic solutions that reinvent how Pearson works as part of the AgentOps team in the Office of the CTO
Embed directly with Pearson teams, learn their domains and build agents into real workflows
Move from initial discovery to working systems in days and iterate with users until adoption
Own solutions end to end, including discovery, architecture, interface, deployment and post-launch outcomes
Design and ship production-grade multi-agent systems using MCP tools and agent-to-agent protocols
Build generative and streaming interfaces, human-in-the-loop review, voice and speech-to-speech interaction, and multimodal input
Evaluate and select agentic frameworks for each problem
Instrument traces, build evaluation suites and guardrails, and catch regressions
Deliver enterprise capabilities including SSO, permissions, data governance, observability and reliability
Maintain clean architecture, strong testing and robust real-world systems
Evaluate emerging frameworks, models and protocols and bring production-ready technology into Pearson
Use agentic engineering tools such as Claude Code, Cursor, Codex and Antigravity
Turn field learnings into reusable patterns, components and platform capabilities for AgentOps

Requirements

What you’ll need

5+ years building and shipping production software, including recent hands-on experience designing, deploying and operating agentic applications in production
Strong full-stack engineering across TypeScript, React, Next.js, Node and Python
Sound architecture and system-design judgment
Hands-on experience with agentic frameworks and orchestration, including LangChain, LangGraph, Deep Agents, CrewAI, Google’s Agent Development Kit, the Microsoft Agent Framework, OpenAI or Claude Agent SDKs, and the Vercel AI SDK or equivalents
Experience building generative and streaming UI with AG-UI, A2UI, CopilotKit or similar
Experience with human-in-the-loop interaction patterns
Production experience with multi-agent systems, MCP tool-using agents, agent-to-agent coordination, evals and guardrails
Practical experience with speech-to-speech models, realtime audio and vision
Trace- and eval-driven engineering approach
Fluent daily use of Claude Code, Cursor, Codex or Antigravity with strong review and testing discipline
Customer-facing discovery, scoping and communication with engineers and senior stakeholders
Enterprise delivery experience with auth and SSO, permissions, data governance, observability and reliability
Working knowledge of retrieval, vector databases and data engineering pipelines
Owner, entrepreneur, forward-deployed builder, full-stack engineer, early adopter, rigorous engineer and collaborator
Alignment with Pearson’s mission

Benefits

Comp & perks

Annual incentive program eligibility
Competitive benefits supporting employees and their families
Internal mobility and leadership development opportunities
Visibility into the Chief Technology Office and engagement with senior technology leadership
Room to work at the frontier of agentic AI with ownership and autonomy
Impact through enabling colleagues to do their best work in service of learners worldwide