Senior Full-Stack Engineer — AI-Driven, Remote

Pearson; Bismarck (ND); Remote; USD 140,000 - 180,000; Full time

Job summary

Pearson is seeking a Sr. Full-Stack Engineer to take ideas from prototype to production for an initial cohort of customers in a primarily remote role.

You will build end-to-end product experiences across modern web apps and cloud services, applying strong engineering judgment to deliver secure, scalable solutions while leveraging AI agents and developer toolsets to accelerate development. You will collaborate with product, design, research, data science, and customer-facing teams, design

Qualifications

• 5-8 years of professional software engineering experience with full-stack ownership.
• Strong front-end skills with modern JavaScript frameworks (React/Next.js preferred), UI frameworks (Tailwind, MUI, etc.), accessibility (WCAG 2.2), and scalable design systems.
• Strong backend engineering skills building APIs and services, including REST API design, authentication/authorization, and versioning strategies spanning service frameworks (.NET, Node.js, Python), API styles (REST/GraphQL).
• Hands-on expertise bootstrapping AWS, including designing, deploying, and operating production workloads (serverless and/or container-based), plus monitoring and cost controls.
• Experience designing or working within microservices and API-first architectures, including service boundaries, contracts, and integration patterns.
• Hands-on experience building, deploying, and operating services using containers (Docker) and orchestration platforms (Kubernetes or a managed equivalent), supported by CI/CD pipelines (e.g., GitHub Actions, Jenkins, or similar tooling).
• Applied experience building AI-enabled product features, including RAG or retrieval-based grounding approaches, with a mindset toward evaluation and quality measurement.
• Strong software engineering fundamentals: testing strategy, code quality, system design, observability, reliability, and incident-minded thinking.
• Strong problem-solving skills, including the ability to navigate complexity, assess tradeoffs, and execute with confidence in ambiguous environments.
• Ability to collaborate across a large organization without direct authority, aligning stakeholders through clear communication and pragmatic technical leadership.
• Practical experience applying AI-assisted development workflows, including agents/subagents and tools like Claude Code, Devin, Ralph, and Builder.io, to rapidly build, test, and refine product features.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Responsibilities

• Build and ship end-to-end product experiences across modern web applications, owning delivery from early concept through production release and iteration.
• Rapidly prototype new concepts, validate feasibility and user value, and graduate successful prototypes into secure, scalable, maintainable production services for the first set of customers.
• Design and manage AI-powered capabilities across retrieval, context shaping, and personalization (RAG, context engineering, collaborative filtering, content-based filtering, etc.), balancing quality, safety, privacy, and latency.
• Build or leverage API-first, versioned REST microservices that expose domain capabilities in a consistent, reliable way across experiences.
• Apply AI agents and modern developer tooling to speed up development workflows, including scaffolding, code generation, evaluation, debugging, and test automation.
• Establish engineering clarity and alignment through strong technical communication and documentation (e.g., architecture briefs, API specs, runbooks, decision records).
• Champion pragmatic software quality practices: code reviews, automated testing, CI/CD, observability, performance tuning, and cloud cost-aware design.
• Partner closely with Product, Design, Research, Data Science, and customer-facing teams to translate needs into working software that meets business outcomes.
• Ensure regulatory, compliance, security, and privacy expectations are met throughout development and release.
• Independently create a test strategy (unit/integration/e2e) aligned to risk, including security testing.
• Write architecture briefs and proposals (lightweight but clear), run experiments, and document tradeoffs.
• Integrate telemetry for performance, reliability, availability, and usage insights.
• Perform other duties as assigned.

Skills

Front-end React/Next.js

UI frameworks Tailwind/MUI

WCAG 2.2 accessibility

Backend API design

Auth/Authorization

REST/GraphQL APIs

AWS (serverless/containers)

CI/CD & monitoring

Microservices/API-first

AI-enabled features (RAG)

Collaborative leadership

Education

Bachelor’s degree in CS/Eng or equivalent

Tools

Docker

Kubernetes

GitHub Actions/Jenkins

DynamoDB/SQL/MongoDB

Redis

SQS/SNS

Kafka

Job description

Pearson is seeking a Sr. Full-Stack Engineer to take ideas from prototype to production for an initial cohort of customers in a primarily remote role.

You will build end-to-end product experiences across modern web apps and cloud services, applying strong engineering judgment to deliver secure, scalable solutions while leveraging AI agents and developer toolsets to accelerate development. You will collaborate with product, design, research, data science, and customer-facing teams, design