Senior Software Engineer – AI Code Evaluation

Gramian Consulting

. Review and evaluate AI-generated code across programming languages and software engineering scenarios.

Posted 10/2/2026contractRemote • Pakistan, Indonesia, Nigeria, Turkey, VietnamSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a strong focus on code evaluation, debugging, and improvement. Proficient in multiple programming languages and capable of providing clear technical feedback while collaborating with teams to enhance software quality.

Highest-signal resume keywords

7+ Years Software Engineering ExperienceProficiency in Python, JavaScript, Java, C++, Go, C#, Ruby, PHP, or RustCode Review and Collaborative DevelopmentStrong Debugging and Problem-Solving SkillsUnderstanding of Software Design Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Code EvaluationDebuggingRoot-Cause AnalysisSoftware Design PrinciplesData StructuresAlgorithmsAPIsDatabasesApplication ArchitectureModular Architecture

Soft Skills

Clear Technical CommunicationCollaboration

Tools & Technologies

Git

Industry Keywords

Code Quality AssessmentSoftware Engineering PracticesProduction-Grade SoftwareTechnical FeedbackLLM Evaluation Methodologies

Tech Stack

Tools & technologies

JavaJavaScriptPHPPythonRubyRustTypeScriptC++Go

About the role

Key responsibilities & impact

Review and evaluate AI-generated code across programming languages and software engineering scenarios.
Assess code for correctness, reliability, security, scalability, readability, and maintainability.
Identify bugs, logical errors, incomplete implementations, edge-case failures, and architectural weaknesses.
Analyze unfamiliar codebases and understand the impact of proposed changes.
Review bug fixes, feature implementations, refactoring, API integrations, configuration changes, and database operations.
Compare alternative implementations and determine whether they satisfy technical requirements.
Rewrite or improve code to create high-quality reference solutions.
Provide clear technical explanations of identified issues and recommended improvements.
Develop evaluation criteria, technical annotations, and rubrics for code-quality assessment.
Collaborate with researchers and engineering teams to design coding benchmarks and improve LLM evaluation methodologies.

Requirements

What you’ll need

7+ years of professional software engineering experience.
Strong proficiency in at least one programming language, including Python, JavaScript/TypeScript, Java, C++, Go, C#, Ruby, PHP, or Rust.
Significant experience building, maintaining, debugging, and reviewing production-grade software.
Strong understanding of software design principles, clean code, modular architecture, abstraction, error handling, and maintainability.
Proven ability to identify functional, performance, security, and design issues in complex codebases.
Strong debugging, root-cause analysis, and problem-solving skills.
Experience with code reviews and collaborative software development workflows.
Familiarity with Git and modern software engineering practices.
Strong written English and ability to communicate technical feedback clearly.
Good understanding of data structures, algorithms, APIs, databases, and application architecture.