[Remote] AI Research Engineer

Note: The job is a remote job and is open to candidates in USA. Dropzone AI is on a mission to scale cybersecurity through AI augmentation, aiming to enhance the capabilities of human security engineers. They are seeking a Senior to Principal-level AI Research Engineer to lead the design and development of advanced AI systems, focusing on agent architecture, memory engineering, and model evaluation. This role involves translating cutting-edge research into practical applications that improve cyber defense.

Responsibilities

• 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)
• Build mechanisms for context compression, retrieval, and grounding
• Explore novel approaches to continual learning and state persistence
• Define and implement evaluation frameworks for agent performance (task success, reasoning quality, robustness)
• Build automated eval pipelines (synthetic data, adversarial testing, regression testing)
• Establish metrics and benchmarks for agent reliability in production
• Translate latest community research ideas into production-grade systems
• Run experiments, analyze results, and iterate quickly
• Contribute to internal knowledge sharing and technical direction

Skills

• 5+ years in software engineering, with at least 1+ year applying GenAI in production
• Proven experience building or researching: Agent frameworks / tool-using LLMs
• Proven experience building or researching: 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
• Experience with agent orchestration frameworks (LangGraph, AutoGen, custom systems)
• Familiarity with AI safety guardrails, hallucination mitigation, and structured output enforcement
• Experience designing LLM evals (offline + online, human-in-the-loop, synthetic data)
• Publications or open-source contributions in relevant areas
• Experience applying latest context/harness engineering techniques to customer facing products
• Founder or early-stage (first 10 engineers) or experience in standing up a new technology bet within a more established company

Benefits

• Company paid health insurance
• 401K Plan with employer match
• Self-Managed PTO
• Parental leave
• Company-provided equipment

Company Overview

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