Description:
Pearson Learning Studio is seeking a Principal Engineer to lead the technical vision and architecture for our Guided Study platform. This role is designed for a deeply technical leader who thrives at the intersection of modern web architecture and emerging AI technologies, particularly agentic AI systems.
You will serve as a hands-on technical authority, driving architectural decisions, mentoring senior engineers, and shaping next-generation AI-powered learning experiences.
Key Responsibilities
Technical Leadership & Architecture
- 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.
AI & Intelligent Systems Development
- 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.
Full-Stack Engineering
- 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.
Cross-Functional Collaboration
- 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.
Required Qualifications
- 10+ years of experience in design, architecture, and development of web applications.
- Strong hands-on experience in:
- Agentic AI systems
- At least one Large Language Model (LLM)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Full-stack development expertise in: