Dropzone AI
AI Research Engineer
- Confirmed live in the last 24 hours
- $200k–$250k
- Mid level
- Remote - US
- 5+ yrs exp
- Added 1 month ago
About this role
Dropzone AI is seeking a skilled AI Research Engineer to build and refine next-generation agentic AI systems, blending research with practical production. This role involves designing agent architectures, optimizing memory systems, and creating robust evaluation frameworks, all while driving innovation in applied AI for cybersecurity. You will directly influence the core intelligence layer of Dropzone's products and contribute to transforming cyber defense using Gen AI.
What you'll do
- Design and implement advanced agent architectures with reasoning and self-improvement capabilities.
- Develop memory systems for context compression and continual learning.
- Define and execute evaluation frameworks for agent performance and reliability.
- Translate research into production-ready AI systems.
- Improve agent reliability, latency, and cost efficiency.
- Collaborate with product and engineering teams to integrate research into scalable solutions.
What they're looking for
- GenAI
- Agent Frameworks
- LLMs
- Memory/Retrieval Systems (RAG, Vector DBs)
- Python
- Context/Harness Engineering
- Evaluation Frameworks
- LangGraph/AutoGen (preferred)
Benefits
- Company-paid health insurance
- 401K Plan with employer match
- Self-Managed PTO
- Parental Leave
- Remote Work
- Company-provided equipment
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Dropzone AI
- Industry
- Technology & Software
Likely interview questions
- Describe your experience building or researching agent frameworks, specifically with tool-using LLMs.
- How do you approach the challenge of converting non-deterministic outputs from LLMs into consistent and reliable outcomes?