Senior Software Engineer – Guided Study 

Pearson Learning Studio 

Pearson Learning Studio is looking for a Senior Software Engineer / Advanced Specialist to join the Guided Study team and help build AI-powered learning experiences at scale. 

This role is ideal for a strong full-stack engineer with hands-on experience in modern web development and practical exposure to AI systems such as LLM integrations and Retrieval-Augmented Generation (RAG). 

You will work closely with the Principal Engineer and cross-functional teams to deliver intelligent, scalable features that improve student outcomes. 

Key Responsibilities 

Full-Stack Development 

Design, develop, and maintain scalable web applications using: 

ReactJS (frontend) 

Java and/or Python (backend) 

SQL-based databases 

Build clean APIs and ensure smooth frontend-backend integration. 

Write maintainable, well-tested, production-ready code. 

AI Feature Implementation 

Integrate at least one Large Language Model (LLM) into application workflows. 

Implement and optimize RAG pipelines under architectural guidance. 

Apply practical prompt engineering techniques to improve output quality. 

Work with vector stores and embeddings as part of AI-driven features. 

Collaboration & Delivery 

Participate actively in Agile/Scrum ceremonies. 

Collaborate with Product, UX, and Data teams to translate requirements into technical solutions. 

Contribute to technical design discussions and propose improvements. 

Troubleshoot and resolve production issues with ownership and urgency. 

Required Qualifications 

6–8 years of experience in software development. 

Strong hands-on experience in: 

ReactJS 

Java and/or Python 

SQL 

Experience integrating or working with: 

At least one LLM 

Prompt engineering 

Basic RAG concepts and implementation 

Solid understanding of REST APIs and distributed systems fundamentals. 

Strong analytical and problem-solving skills. 

Effective communication and collaboration skills. 

Bachelor’s degree in Computer Science, Engineering, or related field. 

Preferred Qualifications 

Experience deploying AI-powered applications in production. 

Familiarity with vector databases. 

Exposure to cloud platforms (AWS, Azure, or GCP). 

Experience in EdTech or content-driven platforms. 

This is a hybrid work setup, where the candidate will be required to work three days onsite at our Hoboken office.

Applications will be accepted through February 10. This window may be extended depending on business needs.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:  

The full-time salary range for this role is between $120,000 - $140,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here