AI Coding Task Architect (Backend)

Mindrift

Saudi Arabia

On-site

SAR 180,000 - 240,000

Full time

6 days ago
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Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies focused on testing, evaluating, and improving AI systems. The role designs coding tasks, each as a self-contained Docker environment with a broken piece of software that an AI agent must fix, with automated tests validating the result.

Deliverables include a full task package and reference solution. Responsibilities involve inventing realistic developer scenarios, building reproducible Docker

Qualifications

  • 3+ years of production backend development in a single stack.
  • Strong Python/Go/Node.js capability in one stack.
  • Fluency in Python pytest and related tooling.
  • Experience with pytest-based task harness and reproducible Docker environments.

Responsibilities

  • Invent a realistic developer scenario, a real bug, a broken ETL, or a missing feature.
  • Build a reproducible Docker environment with pinned dependencies.
  • Write a pytest that verifies outcomes, is deterministic, and does not leak the fix.
  • Write an instruction md that reads like a Jira ticket for a developer.
  • Write a reference solve script proving the task is solvable.
  • Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time.
  • Iterate based on feedback from expert QA reviewers.
  • Later review other authors' tasks as a QA reviewer.

Skills

Python
Go
Node.js
Rust
Backend development

Tools

pytest
Docker
Linux
Bash
CI/CD

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies focused on testing, evaluating, and improving AI systems. The role designs coding tasks, each as a self-contained Docker environment with a broken piece of software that an AI agent must fix, with automated tests validating the result.

Deliverables include a full task package and reference solution. Responsibilities involve inventing realistic developer scenarios, building reproducible Docker

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