Senior Full-Stack Engineer — AI, LLM, AWS & R

Pearson; Sacramento (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Pearson in California is seeking a Software Engineer to drive analysis, design, implementation, unit testing, and quality engineering for high-quality software solutions. This is an opportunity to develop a new platform, using a new technology stack and new processes, from the early stages.

You will own functionality, adapt to new tools and domains (R, data science, agentic AI), collaborate with customers, and contribute to cloud-based AWS applications while upholding best practices for

Qualifications

• Bachelor’s degree in CS/MIS or equivalent
• 3–5 years of full-stack development experience
• Experience with highly available, highly concurrent AWS-based web applications
• Some background in statistics is a big plus
• GitHub-driven CI/CD experience

Responsibilities

• Develop and support a new web application stack
• Leverage and refine LLM-codegen processes to balance agility and quality
• Develop and leverage agent-driven AI architectures
• Work closely with customers and adapt tools to their needs
• Develop psychometrics and data science-focused tools in R
• Operate, extend and create cloud-based solutions in AWS
• Develop and maintain code with best practices for maintainability, performance, security, and verifiability
• Learn new processes, tools, and business domains
• Collaborate with engineering leadership to deliver timely, robust software

Skills

Full-stack development

AWS

R

GitHub CI/CD

Cloud-based apps

Data science basics

Agentic AI

Education

Bachelor’s degree in CS/MIS

Equivalent on-the-job training

Tools

GitHub

CI/CD

AWS

Job description

Pearson in California is seeking a Software Engineer to drive analysis, design, implementation, unit testing, and quality engineering for high-quality software solutions. This is an opportunity to develop a new platform, using a new technology stack and new processes, from the early stages.

You will own functionality, adapt to new tools and domains (R, data science, agentic AI), collaborate with customers, and contribute to cloud-based AWS applications while upholding best practices for