Senior Full-Stack Engineer — AI, R, AWS

Pearson; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Job summary

Pearson is seeking a Software Engineer to design, implement, and test a new web application stack, with rapid learning of new languages, data science, and agentic AI. You will own functionality end-to-end, collaborating with customers and engineers.

Responsibilities include developing LLM-codegen processes, AI architectures, R-based psychometrics tools, AWS cloud solutions, and ensuring code quality, security, and performance.

Qualifications

• 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

Agile experience

Self-starter

Communication skills

Education

Bachelor’s degree in Computer Science / MIS

Tools

Github

CI/CD (GitHub-driven)

AWS

R (data science libraries)

Job description

Pearson is seeking a Software Engineer to design, implement, and test a new web application stack, with rapid learning of new languages, data science, and agentic AI. You will own functionality end-to-end, collaborating with customers and engineers.

Responsibilities include developing LLM-codegen processes, AI architectures, R-based psychometrics tools, AWS cloud solutions, and ensuring code quality, security, and performance.