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# Remote | Senior Software Engineer

- **Company:** 24-MAG LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $208,000 - $312,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Code Generation, Code Review, Continuous Integration, Systems Theories, Github, Python (Programming Language), Open Source Technology, Software Engineering, TypeScript, Large Language Models, AI Coding Agents, Evaluation of Large Language Models, Golang, Data Generation
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/remote-senior-software-engineer-ny--90c2fa9e-d163-4d20-9531-e078568de939

## About the Role

Software Engineering, Software Engineering, Artificial Intelligence (AI), Code Reviews, Software Evaluation, Test Plan/Schedule, Artificial Intelligence (AI) Agents, Technical Analysis, Technical/Engineering Design, Quality Metrics, * 5+ years of hands-on software engineering experience

 * Strong proficiency in Python, TypeScript, JavaScript, Go, Java, or another major production language
 * Experience working in substantial real-world codebases
 * Strong code-review and technical-analysis skills
 * Ability to assess implementation correctness and maintainability
 * Strong understanding of modern software-engineering practices
 * Experience with GitHub-based development workflows
 * Familiarity with CI/CD and production engineering processes
 * Comfortable analysing unfamiliar repositories and code changes
 * Ability to identify subtle technical issues others may overlook
 * Strong written communication and structured technical reasoning
 * Experience using modern LLMs or AI-assisted coding tools
 * Familiarity with open-source development is valuable
 * LLM evaluation or coding-agent experience is advantageous
 * Experience with RLHF, preference data, rubric design, or post-training is useful but not required

## Description

We are sharing a specialised freelance opportunity for experienced software engineers to evaluate and improve advanced AI coding systems through rigorous code review, repository-based testing, rubric development, and engineering-quality assessment.

Selected professionals will work with coding agents across substantial real-world codebases, review generated implementations, identify technical failure modes, and translate expert engineering judgement into structured evaluation signals. The focus is not primarily on building production applications, but on determining whether AI-generated software is correct, robust, maintainable, and aligned with professional engineering standards.

Key Responsibilities

AI-Generated Code Evaluation

 * Review code produced by AI coding agents
 * Assess implementations for correctness, robustness, and maintainability
 * Determine whether agents selected appropriate technical approaches
 * Identify subtle implementation errors and engineering weaknesses
 * Explain clearly why generated solutions succeed or fail

Rubric & Preference Evaluation

 * Design and refine technical evaluation rubrics
 * Define criteria for assessing coding-agent performance
 * Review and label preference and evaluation data
 * Apply consistent quality standards across repeated assessments
 * Capture nuanced differences between competing implementations

Repository & Engineering Analysis

 * Work within substantial real-world software repositories
 * Analyse code changes in their broader architectural context
 * Evaluate repository-level behaviour rather than isolated snippets
 * Review implementation quality using senior engineering judgement
 * Identify recurring failure patterns across coding tasks

Evaluation Infrastructure & Workflows

 * Build and maintain pipelines supporting data generation and evaluation
 * Improve infrastructure for collecting and reviewing model outputs
 * Support scalable evaluation and feedback workflows
 * Contribute to reliable processes for repeated technical assessment
 * Help translate qualitative engineering judgement into structured systems

Research & Technical Collaboration

 * Collaborate with research and engineering teams
 * Summarise evaluation findings in clear written reports
 * Provide actionable recommendations based on observed model behaviour
 * Help improve evaluation methodologies and coding-agent benchmarks
 * Communicate complex technical issues in concise, structured language