Staff Software Engineer: Frontline AI & End-to-End Systems

Pearson; Santa Fe (NM); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Pearson is seeking a forward deployed engineer to embed with internal lines of business, turning ambiguous problems into working software. You will deliver end-to-end systems, from data capture to deployment, with real users and real data.

The role requires hands-on experience shipping AI-powered applications and owning the full stack. You will operate autonomously, thrive in ambiguity, and help drive AI adoption across Pearson’s PSG-CP group, influencing how software and AI show up across the

Qualifications

• 8+ years of full-stack engineering experience with production systems
• Strong CS fundamentals, data structures, algorithms, and system design
• Frontend depth: modern React, TypeScript, component architecture

Responsibilities

• Go where the problem is: design and build end-to-end systems with stakeholders
• Conduct discovery with users and translate findings into tangible work
• Ship production AI applications on frontier LLMs and related tech
• Own the full stack including frontend, backend, data, and deployment
• Iterate quickly across engagements and harden production code

Skills

Full-stack engineering

CS fundamentals

React/TypeScript

Backend development (Node.JS, Java, Py

Production LLM experience

AI-assisted development tools

Data tooling (Python)

Cloud & deployment (AWS/GCP/Azure)

System design & architecture

Strong communication

High agency & ambiguity navigation

Education

Bachelor’s degree in Computer Science or equivalent

Tools

AWS

GCP

Azure

CI/CD

Containers

Job description

Pearson is seeking a forward deployed engineer to embed with internal lines of business, turning ambiguous problems into working software. You will deliver end-to-end systems, from data capture to deployment, with real users and real data.

The role requires hands-on experience shipping AI-powered applications and owning the full stack. You will operate autonomously, thrive in ambiguity, and help drive AI adoption across Pearson’s PSG-CP group, influencing how software and AI show up across the