AI Engineer

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Crogl, Inc.

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2023

🔒 Cybersecurity

🤖 Künstliche Intelligenz

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Crogl, Inc. ist die einzige autonome Wissensplattform für Sicherheitsoperationen, die Alarme untersucht und Bedrohungsjagden durchführt, indem sie organisatorische Prozesse lernt. Sie analysiert und dokumentiert kontinuierlich jeden Alarm in verschiedenen Umgebungen und ermöglicht es Sicherheitsanalysten, fundierte Entscheidungen zu treffen, ohne tiefgehende technische Expertise zu benötigen. Mit Funktionen wie nahtloser SIEM-Migration, Audit-Bereitschaft und automatisierten Untersuchungen unterstützt Crogl Sicherheitsteams dabei, ihre Effizienz und Effektivität im Umgang mit Cyberbedrohungen zu steigern.

Beschreibung

• 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 monitoring. • Work closely with customers and internal teams to understand workflows and identify opportunities for AI automation. • Contribute to engineering best practices for testing, observability, and production reliability. • Stay current with advances in LLMs, agents, evaluation methodologies, and AI engineering.

🎯 Anforderungen

• Strong programming skills, preferably in Python. • Solid software engineering fundamentals, including testing, debugging, and system design. • Experience building applications, projects, or products using LLMs and modern AI tools. • Ability to design experiments, interpret results, and make data-driven decisions. • Strong communication skills and willingness to collaborate across disciplines. • Curiosity, ownership, and a desire to learn quickly. • Experience building AI agents, copilots, or workflow automation systems. • Experience designing evaluations, benchmarks, or testing frameworks for AI systems. • Familiarity with OpenAI, Anthropic, Gemini, or open-source LLM ecosystems. • Experience with retrieval systems, vector databases, and RAG architectures. • Familiarity with LangGraph, OpenAI Agents SDK, MCP, or similar agent frameworks. • Experience with observability, tracing, and production monitoring for AI systems. • Exposure to cybersecurity, security operations, or developer tooling. • Open-source contributions, research projects, or personal AI products.

🏖️ Vorteile

• Work on some of the most challenging problems in applied AI. • Help define how agentic systems are evaluated and deployed in production. • Join a small, highly collaborative team with significant ownership and impact. • Learn quickly while working alongside experienced engineers, researchers, and security experts. • Shape the future of AI-powered security operations.