Startups · AI

AI Engineer

Crogl · United States · Remote

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About Crogl

Crogl deploys autonomous AI agents that investigate every alert, hunt every advisory, and document every action: using your tools, your data, your environment. Backed by Menlo.

About the role

We’re looking for AI Engineers who are excited about building practical AI products. You’ll help design, evaluate, and improve agentic systems that operate in production, working closely with customers, engineers, and product teams to push the boundaries of what’s possible with modern AI.

What they're looking for

  • Built AI products, agents, or developer tools that people actually use
  • Created evaluation frameworks, benchmarks, or testing systems for LLM applications
  • Contributed to open-source AI projects
  • Conducted independent research or published technical writing
  • Built ambitious side projects and iterated on them based on real-world feedback
  • Shown exceptional curiosity and a track record of learning quickly
More about this role

Crogl

Fully Autonomous AI Team Member for Your SOC

Crogl is building AI-powered systems that help security teams investigate, understand, and respond to threats faster. We combine advances in large language models, agent architectures, and security expertise to create intelligent systems that solve real-world problems for security practitioners.

We’re looking for AI Engineers who are excited about building practical AI products. You’ll help design, evaluate, and improve agentic systems that operate in production, working closely with customers, engineers, and product teams to push the boundaries of what’s possible with modern AI.

Build LLM-powered features, workflows, and agentic systems that solve real customer problems.

Design and implement evaluation frameworks to measure agent quality, reliability, and business impact.

Create automated benchmarks, regression tests, and datasets for evaluating AI behavior.

Investigate agent failures and develop systematic approaches to improve performance.

Experiment with prompting, tool use, retrieval, memory, planning, and reasoning strategies.

Build infrastructure that supports rapid experimentation, evaluation, deployment, and...

Read the full posting on Crogl's site ↗

Engineering

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