Senior Full-Stack Engineer: AI, Data Science & Cloud

Pearson; Denver (CO); On-site; USD 100,000 - 130,000; Full time

Job summary

Pearson seeks a Software Engineer to design, implement, test, and maintain high-quality software solutions. You will build a new platform with a fresh tech stack and processes, learning rapidly across data science and psychometrics domains.

The role emphasizes ownership, agile practices, and collaboration with customers to tailor tools and processes. Responsibilities include developing a new web application stack, proving LLM-codegen workflows, architecting agent-driven AI, and leveraging AWS

Qualifications

• Bachelor’s degree in Computer Science, MIS, or equivalent technology discipline, or equivalent on-the-job training
• A willingness to learn new technologies and new domains (R, data science, agentic AI cloud applications)
• 3-5 years relevant full-stack software development experience
• Experience with development, maintenance, and testing of software, following industry best practices
• Experience with highly available, highly concurrent cloud-based Web applications
• Some background in statistics is not required but is a big plus
• AWS hosted applications
• R and R data science libraries
• Github and Github-driven CI/CD

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 using best practices for maintainability, performance, security, and verifiability
• Possess the ability to quickly learn new processes, tools, and business domains
• Work with engineering leadership to deliver timely, robust software adhering to best practices

Skills

Full-stack development

Cloud apps

Data science

AI/LLM

Education

Bachelor’s degree in CS / MIS / equivalent

Tools

AWS

Github

R

Job description

Pearson seeks a Software Engineer to design, implement, test, and maintain high-quality software solutions. You will build a new platform with a fresh tech stack and processes, learning rapidly across data science and psychometrics domains.

The role emphasizes ownership, agile practices, and collaboration with customers to tailor tools and processes. Responsibilities include developing a new web application stack, proving LLM-codegen workflows, architecting agent-driven AI, and leveraging AWS