Pearson VUE

Full-stack Engineer

• Define and drive the architecture for scalable, high-performance web applications supporting Guided Study experiences.
• Lead system design discussions and make strategic technology decisions across frontend, backend, and AI components.
• Architect and implement AI-powered workflows using agentic AI frameworks and LLM-based systems.
• Design and optimize data pipelines and backend services using Java, Python, and SQL.
• Ensure best practices in scalability, observability, performance, and security.
• Develop and integrate at least one Large Language Model (LLM) into production workflows.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Apply advanced prompt engineering techniques to improve learning personalization and response quality.
• Evaluate emerging AI technologies and define roadmap integration strategies.
• Lead frontend architecture using ReactJS.
• Develop backend systems using Java and Python.
• Design and optimize relational databases and complex SQL queries.
• Ensure clean API design and seamless frontend-backend integration.
• Partner closely with Product, Data Science, UX, and Content teams to deliver intelligent learning features.
• Mentor senior engineers and influence engineering standards across the organization.
• Contribute to technical strategy and long-term platform evolution.

Staff Software Engineer – AI

Engineering Manager

• Lead, manage, and scale a distributed engineering team of 10–20 engineers, including senior engineers and team leads.
• Build a strong leadership bench by mentoring tech leads and emerging managers.
• Drive performance management, including goal setting, regular feedback, and career development plans.
• Foster a culture of ownership, accountability, psychological safety, and continuous learning.
• Manage hiring, onboarding, and team capacity planning to support business growth.
• Ensure high levels of team engagement, retention, and productivity across geographies.
• Own end-to-end delivery for the Insights & Recommendations domain across multiple Scrum teams.
• Establish predictable execution rhythms, ensuring on-time, high-quality releases.
• Partner with Product, Design, and Analytics to translate strategy into clear engineering roadmaps.
• Identify risks early and proactively remove organizational, technical, or process bottlenecks.
• Drive operational excellence, including metrics, KPIs, and continuous improvement initiatives.
• Provide architectural oversight for data-driven applications, analytics pipelines, and web platforms.
• Guide teams on best practices in SQL, data systems, ReactJS, and Java-based services.
• Ensure scalable system design, performance optimization, and reliability.
• Lead technical design reviews and promote sound engineering decisions across teams.
• Champion Agile best practices across multiple teams (planning, backlog management, retrospectives).
• Align engineering efforts with business outcomes and customer impact.
• Collaborate with global stakeholders across time zones with strong communication discipline.
• Drive transparency through clear reporting, stakeholder updates, and data-driven decision-making.

Staff Software Engineer – AI

Senior Software Engineering Manager – AI