AI Research Engineer
Core
Design and develop next-generation agentic AI systems, defining how agents reason, remember, and improve over time.
Role type
Senior to Principal-level AI Research Engineer (Agentic Systems)
Builds
Scalable agentic AI systems serving Dropzone AI's product capabilities
Domain
Applied AI, Agentic Systems, LLMs
Deliverable
production ML models
Required skills
Agent architecture design, Harness and memory engineering, Robust evaluation and benchmarking, Multi-step reasoning agent implementation, Multi-agent coordination frameworks, Memory subsystem architecture, Automated evaluation pipeline development, Research-to-production translation
Preferred skills
Context/harness engineering mindset, Ability to test latest research in real-world deployment, Converting non-deterministic LLM outputs to consistent outcomes, Replicating expert human intuitions, Ownership mindset, Driving ambiguous problems to clarity
Technologies
LLMs, Agentic frameworks, Memory systems, Evaluation frameworks
Responsibilities
Design and implement advanced multi-step reasoning agents with tool use, planning, and self-improvement loops; Architect short-term and long-term memory subsystems including episodic, semantic, and retrieval-based mechanisms; Define and implement evaluation frameworks for agent performance including task success and reasoning quality; Translate latest community research ideas into production-grade systems and run experiments to iterate quickly.