Senior Full-Stack Engineer, AI & Data Platform

Pearson; Charleston (WV); Vor Ort; USD 100.000 - 130.000; Vollzeit

Zusammenfassung

Pearson is hiring a Software Engineer to design, implement, test, and maintain high-quality software solutions on a new platform with a modern stack. The role involves rapid learning of tools, LLM-codegen, and agent-driven AI architectures while collaborating with customers and stakeholders.

The successful candidate will have 3–5 years of full-stack experience, AWS exposure, and experience with R data science libraries.

Qualifikationen

• Bachelor’s degree in Computer Science, MIS, or equivalent technology discipline.
• Willingness to learn new technologies and domains (R, data science, agentic AI cloud apps).
• 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.
• AWS hosted applications.
• R and R data science libraries.
• Github and Github-driven CI/CD.

Aufgaben

• 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.

Kenntnisse

Full-stack development

Cloud-based apps

Agile environment

Ausbildung

Bachelor’s degree in Computer Science/MIS or equivalent

Tools

Github

CI/CD (Github-driven)

Jobbeschreibung

Pearson is hiring a Software Engineer to design, implement, test, and maintain high-quality software solutions on a new platform with a modern stack. The role involves rapid learning of tools, LLM-codegen, and agent-driven AI architectures while collaborating with customers and stakeholders.

The successful candidate will have 3–5 years of full-stack experience, AWS exposure, and experience with R data science libraries.