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Software Engineer IV - AI

Job in Middletown, Newport County, Rhode Island, 02842, USA
Listing for: SEA CORP
Full Time position
Listed on 2026-05-28
Job specializations:
  • Software Development
    Software Engineer, DevOps, Cloud Engineer - Software, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

SEA CORP

Location: Middletown, RI, United States

Req : req
1880

Software Engineer IV - AIPrimary Duties and Responsibilities

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 role requires strong engineering judgment, balancing 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, Git Lab, 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.
Qualifications

Education: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field.

Required Experience
  • 3+ years of experience in software engineering, software integration, or application development.
  • Experience using AI-assisted software engineering tools and workflows to support software development activities.
  • Strong experience with Git-based development workflows and collaborative source control practices.
  • Experience with Git Lab repositories, merge requests, branching strategies, and CI/CD integration workflows.
  • Experience utilizing Atlassian tools such as Jira and Confluence within Agile software development environments.
  • Strong proficiency with modern software development environments including VS Code and AI-enabled development extensions.
  • Experience developing software applications in Java.
  • Experience working within Linux-based development and deployment environments, including Red Hat Enterprise Linux (RHEL).
  • Familiarity with Linux command‑line operations, shell scripting, package management, system services, permissions, process management, and development tool chains.
  • Ability to evaluate, validate, and refine AI-generated code outputs for correctness, security, maintainability, and operational suitability.
  • Experience troubleshooting software defects, integration issues, build/test failures, and Linux‑based runtime issues.
Desired Experience
  • Master’s degree in Computer Science, Software Engineering, or a related discipline.
  • Experience with Team Submarine, SWFTS, US Navy program offices, TI/APB cycle.
  • Experience generating and utilizing embeddings to improve software engineering workflows, semantic search, retrieval augmentation, or codebase understanding.
  • Experience reducing context complexity and optimizing workflows for large software repositories and multi‑project codebases.
  • Experience developing software in C++, Python, Go, or Rust.
  • Familiarity with containerized Linux development environments, Docker, Kubernetes, or Dev Ops workflows.
  • Familiarity with LLM orchestration frameworks, MCP‑based integrations, or agentic development environments.
  • Experience with AI‑assisted test generation,…
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