Agent Evaluation Engineer

Advanced Search; Kuwait City; On-site; KWD 11,000 - 25,000; Full time

Job summary

Mindrift is building a dataset to evaluate AI coding agents by creating realistic developer environments and challenging tasks. The project focuses on testing, evaluating, and improving AI systems and operates on a project-based basis rather than permanent employment.

You will design tasks from simulated environments, write tests to verify agent solutions, and iterate based on QA feedback to ensure fairness and robustness of evaluations.

Qualifications

• 5+ years in software development.
• Experience writing tests (functional, integration).
• Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis.

Responsibilities

• Build realistic developer environments – a virtual company with codebase, infra, and context that forms a believable development history.
• Design tasks from intermediate states of these environments – craft the prompt, define success, ensure solvable by an AI agent.
• Write tests that verify agent solutions—accept all valid approaches and reject incorrect ones.
• Iterate on tasks and tests based on QA feedback and refine until evaluation is fair and robust.

Skills

5+ years dev

Testing experience

Python (FastAPI)

JS/TS (React)

Docker

Postgres

Kafka

Redis

Tools

Python (FastAPI)

JavaScript/TypeScript (React)

Docker

Postgres

Kafka

Redis

Job description

Description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.

You’ll create challenging tasks and evaluation criteria within realistic simulated environments:

• Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
• Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
• Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
• Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

What this is not

• Not data labeling
• Not prompt engineering
• Not writing code from scratch - the agent writes most of the code; you guide and evaluate

What we look for

• 5+ years in software development
• Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
• Experience writing tests (functional, integration)
• English proficiency - B2+

Why this is hard

Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

How it works

Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.

Effort estimate

Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.