Software Engineer 4 - AI Native

Xapply; Northern (KY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Xapply is seeking a Software Engineer 4 - AI Native based in the United States for a remote, AI-driven software lifecycle role. You will direct autonomous coding agents, review their output, and own production software quality in a FedRAMP-authorized environment.

You will work across high-volume workflows, using generator-verifier architecture, evaluation-driven development, and staged deployment with autonomous pull-request pipelines, ensuring security, performance, and accessibility.

Skills

Autonomous AI

Generator-Verifier Architecture

Staged Deployment

Pull-Request Pipelines

Software Engineering Fundamentals

Job description

AI Development Autonomous Coding Agents Generator-Verifier Architecture Evaluation-Driven Development Staged Deployment Pull-Request Pipelines Software Engineering Fundamentals Quality Assurance Performance Optimization Security Best Practices Accessibility Standards FedRAMP Compliance

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer 4 - AI Native based in United States.

This is a full-time, fully remote engineering opportunity within an AI-native software development lifecycle. The role focuses on directing autonomous coding agents, rigorously reviewing their output, and owning the quality of production software. You will work across high-volume development workflows using generator-verifier architecture, evaluation-driven development, staged deployment, and autonomous pull-request pipelines. The position combines strong software engineering fundamentals with hands-on experience orchestrating AI agents in production environments. You will help define measurable quality standards while maintaining responsibility for correctness, performance, security, and accessibility. Working within a FedRAMP-authorized environment, you will also contribute to evolving how engineering teams safely and effectively operate with AI at scale.

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