Software Engineer – Technical Advisor

🕒 August 28

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

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Logo of Continuum Resource Network

Continuum Resource Network

1 - 10 employees

Founded 2018

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

Continuum Resource Network is an expert recruitment firm that connects talented candidates with leading employers, offering recruitment solutions and job placement services. The company emphasizes human-centered recruiting supported by AI, helping job seekers find opportunities and helping clients fill roles through relationship-driven talent sourcing.

📋 Description

• Analyze AI coding agent behavior across entire coding sessions, including investigations, verification, assumptions, and unfinished work • Audit model-generated pull requests against production repositories and document issues with severity and technical rationale • Design and build container-based evaluation benchmarks for frontier models • Work directly with AI researchers on frontier problems • Produce clear written analyses explaining root-cause failures and boundary-condition gaps • Author independent technical rationale for all evaluations without AI-generated text, while using AI tools for codebase exploration and test-suite execution

🎯 Requirements

• 8+ years of production engineering experience preferred (exceptions only for clearly exceptional profiles) • Background as a Senior, Staff, or Principal Software Engineer, Tech Lead, or Open-Source Maintainer • Experience working in production codebases with a strict code review culture • Heavy experience with Python and TypeScript • Comfort working with unfamiliar programming languages weekly • Demonstrated comfort using Docker, git, and the Command Line Interface (CLI) to reproduce, isolate, and debug results locally • Comfort working across backend, frontend, APIs, data, testing, or developer tooling • Strong written communication skills; ability to articulate why code fails, not just how to fix it quickly

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