Developer Infrastructure Engineer – AI Workflow Evaluation

🔥 0 minutes ago

🌐 India, Romania, +4 more countries – Remote

🇮🇳 India – Remote 🇷🇴 Romania – Remote 🇧🇷 Brazil – Remote 🇫🇷 France – Remote 🇦🇷 Argentina – Remote 🇵🇱 Poland – Remote

💵 $30 - $80 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 0%

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

• Test and validate AI-assisted developer and infrastructure workflows • Evaluate commands, configurations, and outputs across cloud and platform engineering scenarios • Review workflows involving GitHub, GitLab, JIRA, AWS, Azure, GCP, Kubernetes, Docker, and Terraform • Identify technical inaccuracies, broken steps, unrealistic assumptions, or workflow gaps • Assess AI-agent interactions with Slack, Google Drive, and Microsoft 365 • Document observations and provide clear, actionable technical feedback • Recommend workflow improvements based on real-world engineering standards • Participate in asynchronous review and virtual discussions to clarify task requirements • Evaluate whether AI-generated solutions are practical, reproducible, and technically sound • Maintain clear documentation across submitted evaluations

🎯 Requirements

• Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering • Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP • Practical experience with Kubernetes, Docker, Terraform, or comparable infrastructure tooling • Familiarity with developer platforms such as GitHub, GitLab, or JIRA • Experience with CI/CD pipelines and modern infrastructure or platform workflows • Professional experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, Codex, or similar tools • Ability to evaluate technical workflows and identify incorrect or inefficient implementations • Strong written and spoken English