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

• 68 years of experience in software development.



• Strong hands-on experience in ReactJS



• Strong hands-on experience inJava and/or Python



• Hands-on experience in SQL



• Experience integrating or working with At least one LLM



• Experience with Prompt engineering



• Knowledge and experience on 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.



• Bachelors 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

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Engineering

Job Family: TECHNOLOGY

Organization: Higher Education

Schedule: FULL\_TIME

Workplace Type: On-site

Req ID: 22619