Senior C++ Tooling Engineer
Skylabs AI
Senior C++ Tooling Engineer
Skylabs AI
Applied AI research for intelligent software.
Skylabs AI · Islamabad, Pakistan · Full-time · Posted 2026-06-01
Workplace: on_site
About Us
At SkyLabs AI Inc., we are at the forefront of the artificial intelligence revolution. As a US-headquartered startup, we are building verification infrastructure for C++. We move fast, we ship constantly, and the people who thrive here are the ones who don't wait to be told what to build next.
The Role
We need someone who deeply understands C++, compilers, and systems, but who builds the tooling in whatever language is fastest: Python, TypeScript, Rust, shell, glue code, prototypes. You'll be expected to identify what needs to exist, build it, and put it in front of users without a project manager holding your hand.
This role is unapologetically AI-native. We expect you to drive Claude Code, Codex, Cursor, or similar agentic coding tools as a core part of your workflow, not as a novelty, but as the way you ship.
Who thrives here
We don't require prior Python or TypeScript experience. If you have strong C++ and systems judgment and you know how to drive a coding agent, you can produce tooling in whatever language the job needs. If you need fully-scoped tickets, weekly 1:1s to unblock you, or a stable roadmap that doesn't shift, this is not the right environment.
What you'll actually do
You should have
Bonus points
Not a fit if
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Applied AI research for intelligent software.
Skylabs AI is an applied research company focused on artificial intelligence for intelligent reasoning, working primarily with complex neurosymbolic AI to solve hard software engineering problems. Its products and platforms aim to support intelligent agents and next-generation software, combining symbolic reasoning with neural methods. The company operates in the US and Pakistan, offering generative AI research and engineering, product development, and software development through a hybrid office model. Its approach centers on conducting applied AI research to build practical intelligent systems and invite collaboration from others who want to tackle difficult technology challenges. Core differentiators include its emphasis on neurosymbolic AI for software engineering and its dual-country collaboration setup to attract diverse talent. The goal is to create platforms and intelligent agents that enable advanced software development and automated reasoning capabilities for complex tasks.
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