AI Engineer

6 days ago

Prague, Hlavní město Praha, Czech Republic Aisle Full time 80,000 - 160,000 per year
Why Aisle?

Aisle is redefining how enterprises secure their software with an AI agent for autonomous vulnerability remediation. Vulnerabilities are the #1 root cause of cyber incidents, yet most organizations take weeks or months to patch what attackers exploit in days. We're changing that.

Our mission is to protect democratic societies from the most sophisticated cyberattacks. We do that by giving organizations - including those operating critical infrastructure - the power to harden their systems and resolve security issues at superhuman speed and scale. Backed by world-class founders and advisors, we're creating a new category in cybersecurity at the intersection of AI, automation, and enterprise resilience.

We're a small, talent-dense team spread across the US, Europe, and Israel. We value high ownership, high velocity, and low-ego collaboration. If you want to work with world-class minds in AI and security, thrive in fast-moving environments, and care about solving one of the toughest challenges in tech, Aisle is the place for you.

What we're looking for

  • Solid SWE fundamentals and experience with APIs + LLM apps

  • Strong coding skills (Python + one systems language)

  • Fast learner who iterates fast and thrives in fast-changing environments

  • Self-motivated builder with intrinsic motivation and excellent logical reasoning

What you'll do

  • Design AI workflows and multi-agent systems (planning, tools, integrations, memory)

  • Engineer prompts, retrieval, and guardrails with strong observability

  • Continuously evaluate and productionize: tests, CI/CD, monitoring

  • Evaluation of AI components (benchmarks, regression suites, etc.)

  • Building environments and sandboxes for LLM operations

Bonus points

  • Experience with Python AI frameworks (LangChain, Pydantic AI, ...)

  • Data engineering and pipelines

  • Experience with A/B testing, drift monitoring, statistical evals

  • Shipped multi-LLM-agent systems at scale

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