Senior Full-Stack Engineer - AI, Data Science, AWS

Pearson

Concord (NH)

On-site

USD 100,000 - 130,000

Full time

45 hours ago
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Job summary

Pearson is seeking a Software Engineer to analyze, design, implement, test, and ensure quality of software solutions. This role offers a chance to build a new platform using a fresh technology stack from the ground up, demanding rapid learning and adaptability.

Responsibilities include end-to-end feature ownership, collaboration with customers, and applying AI, R data science, and AWS cloud solutions to deliver robust, secure applications with best practices.

Qualifications

  • Bachelor's degree in Computer Science, MIS, or equivalent technology discipline, or equivalent on-the-job training.
  • 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.

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.

Skills

Full-stack dev
Cloud computing
R data science
AI codegen

Education

Bachelor's degree in CS/MIS or equivalent
Willingness to learn new tech/domains
3-5 years full-stack experience

Tools

AWS
Github CI/CD
R libraries
Agentic AI tools

Job description

Pearson is seeking a Software Engineer to analyze, design, implement, test, and ensure quality of software solutions. This role offers a chance to build a new platform using a fresh technology stack from the ground up, demanding rapid learning and adaptability.

Responsibilities include end-to-end feature ownership, collaboration with customers, and applying AI, R data science, and AWS cloud solutions to deliver robust, secure applications with best practices.

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