AI Evaluation Engineer - Software Engineering Domain

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for highly analytical engineers and technical domain experts to contribute to advanced AI evaluation and benchmarking projects focused on realistic terminal-based and infrastructure-heavy workflows. In this role, you will design technically challenging tasks that evaluate how AI systems reason through debugging, operational failures, complex workflows, and multi-step problem-solving scenarios.

The ideal candidate has strong experience working with production systems, debugging, automation, or large-scale engineering workflows, and can design realistic technical challenges that simulate real-world engineering environments.

This role is particularly well suited for professionals with backgrounds in backend engineering, infrastructure, DevOps, data systems, MLOps, cybersecurity, or platform engineering.

CONTRACT: Contractor assignment (5 weeks)

COMMITMENT: Full-time (40h/week) or Part-time (20h/week) with minimum 4h PST overlap

LOCATION: Remote — Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

PROCESS: One technical assessment/interview (~45 min)

Responsibilities:

• Design realistic terminal-based benchmark tasks for AI evaluation systems
• Create technically deep debugging and investigation scenarios
• Develop task specifications involving infrastructure, workflows, pipelines, or operational failures
• Write clear solution approaches and deterministic evaluation criteria
• Identify realistic edge cases, failure modes, and system constraints
• Design multi-step reasoning challenges across complex technical environments
• Contribute expertise across one or more engineering or operational domains
• Review and refine benchmark quality, difficulty, and validation logic
• Collaborate with reviewers and researchers on AI evaluation workflows

Requirements

• 3–10 years of experience in software engineering or related technical domains
• Strong debugging, analytical, and systems reasoning skills
• Good understanding of system architecture, dependencies, and operational processes
• Experience with terminal, CLI, automation, or developer tooling workflows
• Exposure to AI systems, LLMs, benchmarking, or evaluation frameworks is preferred
• Ability to design technically rigorous and realistic engineering scenarios