Cybersecurity, Software Engineering Specialist – AI Projects

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada, +4 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇲🇽 Mexico – Remote 🇨🇷 Costa Rica – Remote 🇵🇦 Panama – Remote 🇬🇹 Guatemala – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Analyze, debug, and resolve software bugs and security vulnerabilities across diverse codebases. • Implement features and improve existing functionality using Python 3, Java, Rust, Go, C++, or TypeScript. • Refactor legacy code to improve maintainability, security, and performance. • Conduct codebase audits, penetration testing, and security assessments to identify and mitigate risks. • Contribute to backend development and optimize applications for scalability and security. • Apply secure software development practices and assess potential security risks. • Document technical findings and recommend practical improvements. • Provide real-world engineering and cybersecurity insights to improve AI training datasets.

🎯 Requirements

• Professional experience with one or more of the following languages: Python 3, Java, Rust, Go, C++, or TypeScript. • Demonstrated experience debugging, fixing software bugs, and working with complex codebases. • Strong background in cybersecurity, penetration testing, security audits, or vulnerability assessment. • Experience with codebase refactoring, algorithms, or software performance optimization. • Understanding of secure software development practices and common security risks. • Ability to communicate complex technical findings clearly and concisely. • Ability to work independently and complete tasks according to project specifications.