Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Job Summary : SEACORP is seeking to fill a Software Engineer – AI position to support the development, integration, testing, and sustainment of modern US Navy software systems using advanced AI-assisted software engineering workflows. This position is intended for highly capable software engineers who are proficient not only in software development fundamentals, but also in leveraging AI-enabled development tools to accelerate delivery, improve code quality, automate repetitive tasks, and enhance engineering productivity across the software lifecycle. The ideal candidate understands how to effectively utilize AI coding assistants, agentic software engineering workflows, and modern developer tooling to support requirements analysis, software implementation, testing, debugging, refactoring, documentation generation, and codebase comprehension. This role requires strong engineering judgment and the ability to balance AI-generated outputs with sound software engineering principles, architecture awareness, maintainability, and operational reliability. Job Responsibilities Include: Develop, integrate, test, and maintain software applications using modern AI-assisted software engineering workflows. Utilize AI development tools such as Cursor, Claude Code, OpenAI Codex, Continue.dev, and related technologies to improve software engineering productivity and effectiveness. Collaborate with software engineers, architects, testers, and system integrators within Agile software development environments. Implement software solutions in Java and related technologies while applying secure coding practices and software engineering best practices. Utilize Git, GitLab, and Atlassian collaboration tools to support source control, issue tracking, code reviews, sprint execution, and software delivery workflows. Support AI-assisted code generation, debugging, test generation, refactoring, and documentation activities while validating outputs for correctness, maintainability, and security. Work within large and complex codebases while leveraging AI tooling to improve software comprehension, navigation, and development efficiency. Support CI/CD-driven software engineering workflows and automated testing approaches. Assist with the evaluation and adoption of emerging AI-enabled software engineering tools, workflows, and developer productivity technologies. Produce technical documentation, software artifacts, test evidence, and implementation guidance to support engineering and program objectives.