Platform Software Engineer - LLM/AI, AWS, R

Pearson; Springfield (IL); On-site; USD 100,000 - 130,000; Full time

Job summary

Pearson in Springfield, IL is seeking a Software Engineer to contribute to analysis, design, implementation, unit testing, and quality engineering for high-quality software solutions.

You will develop a new web application stack, apply LLM-codegen and agent-driven AI methods, collaborate with customers, and build R-based data science tools on AWS.

A strong learner who thrives in evolving domains, can take ownership, and deliver robust software following best practices will fit this role.

Qualifications

• 3-5 years of full-stack software development experience
• Experience with highly available, concurrent cloud-based Web applications
• Experience with development, maintenance, and testing following industry best practices
• AWS hosted applications experience
• R and R data science libraries 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 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 software development

AWS & cloud services

GitHub CI/CD

Education

B.S. in Computer Science or related field

Tools

GitHub

CI/CD pipelines

R (data science libraries)

Job description

Pearson in Springfield, IL is seeking a Software Engineer to contribute to analysis, design, implementation, unit testing, and quality engineering for high-quality software solutions.

You will develop a new web application stack, apply LLM-codegen and agent-driven AI methods, collaborate with customers, and build R-based data science tools on AWS.

A strong learner who thrives in evolving domains, can take ownership, and deliver robust software following best practices will fit this role.