AI-Native Software Engineer — Hybrid (Mountain View)

Study.com

Mountain View (CA)

On-site

USD 59,000 - 81,000

Full time

14 days+
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Job summary

Study.com in Mountain View, CA is hiring a software engineer to build AI-native tooling that drives learning for millions of students. You'll join a cross-functional team, take features from acceptance criteria to production, and ship in an agent-driven workflow using Java/Spring, MySQL, and TypeScript/React.

This role is hybrid in the Mountain View office with in-office Mondays, Wednesdays, and Thursdays. You’ll learn rapid prototyping, testing, observability, and how to evaluate agent outputs,

Qualifications

  • BS or MS in Computer Science or a related field.
  • Hands-on experience using AI coding tools to build non-trivial functionality.
  • Working proficiency in Java or TypeScript and familiarity with web apps.

Responsibilities

  • Build and ship features with AI coding agents as the primary production method.
  • Work across the stack: Java/Spring services, MySQL, TypeScript/React frontend.
  • Write tests and acceptance criteria to define done for features.
  • Review and ship code with the team.
  • Identify weak skills and guardrails and improve them.
  • Monitor post-release metrics and learn from trade-offs.

Skills

AI coding tools experience
Java proficiency
TypeScript proficiency
Strong written communication
Data structures & algorithms
Ability to break problems into agent-­

Education

BS/MS in Computer Science or related field

Tools

Java and Spring
React/TypeScript frontend
MySQL

Job description

Study.com in Mountain View, CA is hiring a software engineer to build AI-native tooling that drives learning for millions of students. You'll join a cross-functional team, take features from acceptance criteria to production, and ship in an agent-driven workflow using Java/Spring, MySQL, and TypeScript/React.

This role is hybrid in the Mountain View office with in-office Mondays, Wednesdays, and Thursdays. You’ll learn rapid prototyping, testing, observability, and how to evaluate agent outputs,

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