Dropzone AI
11 - 50 employees
Founded 2023
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
Cybersecurity • Artificial Intelligence • SaaS
Dropzone AI is an AI-driven cybersecurity company that provides autonomous, LLM-powered SOC (Security Operations Center) analysts to investigate, triage, and resolve security alerts automatically. Their SaaS product integrates with SIEMs, EDRs, cloud and identity systems and other security tools to deliver 24/7 alert coverage, reduce mean-time-to-response (MTTR), and scale SOC operations for enterprises and MSSPs. Dropzone AI positions itself as an AI-augmented SOC solution that deploys quickly via APIs, emphasizes human-in-the-loop controls, and focuses on improving SOC efficiency, accuracy, and analyst productivity.
AI Research Engineer
Job not on LinkedIn
🕒 April 30
🇺🇸 United States – Remote
💵 $200k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
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Dropzone AI
11 - 50 employees
Founded 2023
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
Cybersecurity • Artificial Intelligence • SaaS
Dropzone AI is an AI-driven cybersecurity company that provides autonomous, LLM-powered SOC (Security Operations Center) analysts to investigate, triage, and resolve security alerts automatically. Their SaaS product integrates with SIEMs, EDRs, cloud and identity systems and other security tools to deliver 24/7 alert coverage, reduce mean-time-to-response (MTTR), and scale SOC operations for enterprises and MSSPs. Dropzone AI positions itself as an AI-augmented SOC solution that deploys quickly via APIs, emphasizes human-in-the-loop controls, and focuses on improving SOC efficiency, accuracy, and analyst productivity.
📋 Description
• Design and implement advanced multi-step reasoning agents (tool use, planning, reflection, self-improvement loops) • Develop frameworks for multi-agent coordination and task decomposition • Improve reliability, latency, and cost efficiency of agent execution • Architect short-term and long-term memory subsystems (episodic, semantic, retrieval-based, hybrid) • Define and implement evaluation frameworks for agent performance (task success, reasoning quality, robustness) • Translate latest community research ideas into production-grade systems
🎯 Requirements
• 5+ years in software engineering, with at least 1+ year applying GenAI in production • Proven experience building or researching: Agent frameworks / tool-using LLMs Memory / retrieval systems (RAG, vector DBs, hybrid retrieval) • Expert Python developer • Familiar with openclaw and Claude Code harness architecture • Early-stage startup mindset. You thrive on ambiguity and move with lightspeed execution
🏖️ Benefits
• company paid health insurance • 401K Plan with employer match • Self-Managed PTO • parental leave • more
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