Ai Research Engineer

Dropzone AI

Remote, United States
Base salary range not specified; determined by loc...
Remote
5+ years software engineering experience
1+ year genai production experience
Agent framework and tool-using llm expertise
Dropzone AI is seeking a Senior to Principal-level AI Research Engineer to design and develop advanced AI systems that enhance cybersecurity. The ideal candidate will have extensive experience in software engineering and a strong background in generative AI, with a focus on agent architecture and memory systems

Job Summary

  • Dropzone AI aims to scale cybersecurity beyond human limits by augmenting security engineers with an army of AI specialists.
  • The role involves leading the design of multi-step reasoning agents that can reason, remember, and improve over time.
  • Candidates will work in a 100% remote environment with company-provided equipment and access to a generous benefits package.

Matching Summary

Match Score: 85

Dropzone AI is seeking a Senior to Principal-level AI Research Engineer to design and develop advanced AI systems that enhance cybersecurity. The ideal candidate will have extensive experience in software engineering and a strong background in generative AI, with a focus on agent architecture and memory systems.

Salary

Base salary range not specified; determined by location, skills, education, and experience; includes company paid health insurance, 401K match, and Self-Managed PTO

Skills & Requirements

Must-have

  • 5+ years software engineering experience
  • 1+ year GenAI production experience
  • Agent framework and tool-using LLM expertise
  • Memory and retrieval system architecture (RAG)
  • Expert Python developer skills
  • Context and harness engineering knowledge

Nice-to-have

  • Experience with LangGraph or AutoGen frameworks
  • Knowledge of AI safety guardrails and hallucination mitigation
  • Publications or open-source contributions in AI
  • Early-stage startup mindset with ambiguity tolerance
  • Experience designing offline and online LLM evaluations

Key Requirements

  • 5+ years in software engineering
  • At least 1+ year applying GenAI in production
  • Deep curiosity about converting non-deterministic outputs to reliable outcomes

Work Rights

Not specified

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