Agentic Software Engineer (Google Antigravity) - Remote - USA

FullStack Labs

$110K — $130K *
US-AnywhereRemote in Pierre, SD
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional software development experience with full-stack architectures (e.g., Java, Python, C#, React, Node).
  • Deep experience with Google Antigravity for AI-driven implementation.
  • Experience delivering production software primarily generated by AI systems.
  • Strong context engineering skills for structuring codebases and documentation.
  • Ability to translate complex requirements into AI-friendly specifications.
  • Experience designing AI-first workflows from spec to deployment.
  • Ability to improve AI output through structured iteration.
  • Comfortable working across multiple tech stacks in AI-driven environments.

Responsibilities

  • Collaborate with product teams to build and deliver innovative solutions.
  • Use Google Antigravity to develop AI implementations across systems.
  • Translate client requirements into machine-executable formats.
  • Iterate on AI-generated code to enhance performance and reliability.
  • Manage workflows to incorporate human-in-the-loop review processes.
  • Engage in Agile practices, ensuring adherence to Lean principles.
  • Stay updated on emerging AI engineering practices and methodologies.

Benefits

  • Competitive Salary.
  • Paid Time Off (including vacation, sick leave, and parental leave).
  • 100% remote work flexibility.
  • Work with startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) plan with 4% company match.
  • Ample opportunities for career advancement.
  • Continuing education opportunities.
Full Job Description
The Position

We're looking to hire an Agentic Software Engineer (Google Antigravity) to join our team. You'll work with one of our incredible product teams to build and deliver a product to our clients.

What We Are Looking For

  • 5+ years of professional software development experience with a deep understanding of full-stack architectures (e.g., Java, Python, C#, React, Node, etc.).
  • Deep experience using Google Antigravity as a primary development environment to coordinate AI-driven implementation across large, multi-file systems while maintaining architectural oversight.
  • Experience delivering production software where AI systems generate the majority of implementation code.
  • Strong context engineering skills, including structuring codebases, specifications, and documentation to produce reliable, context-efficient AI output.
  • Ability to translate complex product requirements into machine-executable, AI-friendly specifications.
  • Experience designing AI-first development workflows from specification through deployment.
  • Ability to systematically improve AI-generated output through structured iteration and feedback loops.
  • Comfort working across multiple stacks, using AI to deliver high-quality, production-ready systems.
  • Experience operating across frontend, backend, and infrastructure in AI-accelerated environments.
  • Disciplined human-in-the-loop review practices, with risk-adjusted validation for high-impact or safety-critical flows.
  • Strong curiosity and initiative in evaluating and adopting emerging AI-native engineering practices.
  • Advanced understanding of Agile methodologies and Lean principles and participation in team ceremonies as well as asynchronous work.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • A positive mindset and a can-do attitude.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on commitments.
  • Ability to consistently work 40 hours per week.


What We Offer

  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

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