"AI engineer" is the most inflated title of the year. ViewSkill reads what a developer actually built (LLM apps, RAG pipelines, agents, trained models) and ranks them by that evidence.

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Why AI CVs don't tell you enough

Since 2023 almost every developer CV mentions AI. Some candidates have trained and deployed models, some have built production LLM features, and some have called an API once. The title doesn't tell you which.

ViewSkill looks for the concrete work: repositories using model SDKs, vector databases, evaluation code, fine-tuning scripts or agent frameworks, and how serious and recent those projects are.

Searches you can run

What a strong AI profile shows

Beyond one API call

Retrieval, tool use, evaluation or fine-tuning code, not just a chat wrapper.

Classic ML depth

For ML roles: training code, data pipelines and experiment tracking, usually in PyTorch.

Production habits

Tests, configuration and deployment files show the work ran outside a notebook.

Recency

The field moves fast; projects from the last year carry the most weight.

How to hire AI developers with ViewSkill

  1. 01

    Describe the role

    Write what you need in plain English: stack, seniority, location. No boolean strings.

  2. 02

    Get a ranked shortlist

    In under two minutes, each developer has a 0 to 100 score, verified skills and a one-line reason.

  3. 03

    Reach out or test

    Find their public contact, send a personal message, or a take-home test graded automatically.

Questions

How does ViewSkill check a AI developer's skills?
It reads the public repositories the developer owns on GitHub: which AI projects they built, how recently they pushed, how the code is structured and whether other people use it. Each verified skill gets a level from Familiar to Expert, with the repos behind it linked so you can check.
Do I need to be technical to hire a AI developer this way?
No. You describe the role in plain English and every candidate comes with a one-paragraph verdict and a 0 to 100 score. You can forward the report to an engineer, but you don't need one to shortlist.
What about developers whose best work is private?
ViewSkill only sees public code, so it can miss strong people who work in closed repos. Use it to find and rank the people with visible evidence, and use the built-in coding test for candidates who have little public code.
How much does it cost?
The first search is free and needs no credit card. After that, every search, report or outreach draft costs one credit; paid plans add a monthly credit allowance.

Find your shortlist now

First search free. No credit card.

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