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 • Bangladesh, Brazil, Colombia, Egypt, Ghana, IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a strong proficiency in programming languages such as Python, JavaScript, and Java. Capable of conducting thorough code reviews, identifying issues, and providing clear technical feedback while collaborating effectively with teams.

Highest-signal resume keywords

7+ Years Of Professional Software Engineering ExperienceStrong Proficiency In Python, JavaScript, Java, C++, Go, C#, Ruby, PHP, Or RustStrong Debugging And Root-Cause Analysis SkillsExperience With Code Reviews And Collaborative Software DevelopmentFamiliarity With Git And Modern Software Engineering Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Code ReviewDebuggingRoot-Cause AnalysisSoftware Design PrinciplesData StructuresAlgorithmsAPIsDatabasesApplication ArchitectureModular Architecture

Soft Skills

Problem-SolvingClear Technical CommunicationCollaboration

Tools & Technologies

Git

Industry Keywords

AI-Generated CodeCode Quality AssessmentSoftware Engineering ScenariosProduction-Grade SoftwareTechnical Requirements

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