AI Code Review Engineer

AI Code Review Engineer (AI/ML + Secure Code Analysis)

Location: Remote

Overview

We are seeking an AI Code Review Engineer to evaluate, audit, and improve AI-generated and human-written code across modern software environments. This role sits at the intersection of software engineering, AI/ML, and secure development, ensuring code quality, performance, and compliance with best practices.

• You will work closely with developers, DevSecOps teams, and AI platforms to analyze outputs from tools such as GitHub Copilot, ChatGPT, and other LLM-based coding systems, ensuring safe, efficient, and production-ready code.

Key Responsibilities

• Review and validate AI-generated code for correctness, efficiency, and maintainability
• Perform manual and automated code reviews across multiple languages (Python, Java, JavaScript, etc.)
• Identify and remediate security vulnerabilities (OWASP Top 10, SAST/DAST findings)
• Evaluate AI outputs for:
• Logic errors
• Hallucinated dependencies or APIs
• Inefficient or non-scalable patterns
• Partner with engineering teams to establish AI coding standards and governance frameworks
• Develop and maintain code review guidelines specific to AI-assisted development
• Implement or integrate tools for:
• Static code analysis (SonarQube, Checkmarx, etc.)
• AI code validation and linting
• Provide feedback loops to improve AI model outputs and prompt engineering strategies
• Support DevSecOps pipelines by embedding automated code quality and security checks

Required Qualifications

• 5+ years of experience in software engineering or code review roles
• Strong proficiency in at least one major language:
• Python, Java, JavaScript/TypeScript, or C++
• Experience with code review processes (GitHub, GitLab, Bitbucket)
• Knowledge of secure coding practices and application security principles
• Familiarity with AI/ML tools used in development (e.g., GitHub Copilot, OpenAI APIs, LLMs)
• Experience with static/dynamic code analysis tools
• Understanding of software design patterns and scalable architectures

Preferred Qualifications

• Experience reviewing or validating AI-generated code outputs
• Background in machine learning or prompt engineering
• Knowledge of DevSecOps pipelines and CI/CD tools (Jenkins, Azure DevOps, GitHub Actions)
• Experience with cloud environments (AWS, Azure, Google Cloud Platform)
• Familiarity with policy/governance frameworks for AI usage
• Experience in regulated or secure environments (DoD, FedGov, finance, healthcare)

Compensation and Benefits

Salary Range: $85,000 - $120,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.)

Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron s benefits programs.

Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.

Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.