
51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
Artificial Intelligence
Dropzone AI is an organization whose name indicates an artificial intelligence focus. The supplied material contains only website/CSS code and layout variables (styling and theme definitions) and does not include product, service, customer, or company details. Because no explicit business information is present, I cannot reliably state what Dropzone AI builds or who its customers are; however, based solely on the company name, it is reasonable to classify it as operating in artificial intelligence. No other industries can be confidently inferred from the provided text.
🕒 August 31
🇺🇸 United States – Remote
💵 $200k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
👻 Ghost score 12%
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51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
Artificial Intelligence
Dropzone AI is an organization whose name indicates an artificial intelligence focus. The supplied material contains only website/CSS code and layout variables (styling and theme definitions) and does not include product, service, customer, or company details. Because no explicit business information is present, I cannot reliably state what Dropzone AI builds or who its customers are; however, based solely on the company name, it is reasonable to classify it as operating in artificial intelligence. No other industries can be confidently inferred from the provided text.
• Lead the design and development of next-generation agentic AI systems • Design and implement advanced multi-step reasoning agents, including tool use, planning, reflection, and 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, including episodic, semantic, retrieval-based, and hybrid systems • Build mechanisms for context compression, retrieval, and grounding • Explore continual learning and state persistence • Define and implement evaluation frameworks for agent performance, including task success, reasoning quality, and robustness • Build automated evaluation pipelines using synthetic data, adversarial testing, and regression testing • Establish metrics and benchmarks for agent reliability in production • Translate current community research ideas into production-grade systems • Run experiments, analyze results, and iterate quickly • Work closely with product and engineering teams to translate research into scalable real-world systems • Contribute to internal knowledge sharing and technical direction • Shape Dropzone AI’s core intelligence layer and how its agents reason, remember, and improve over time
• 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; ability to thrive on ambiguity and move with lightspeed execution • Strong ownership mindset and ability to drive ambiguous problems to clarity • Ability to follow the latest research and test it in real-world deployment • Deep curiosity about converting non-deterministic LLM outputs into consistent, reliable outcomes and replicating expert human intuitions
• Company-provided equipment • Company-paid health insurance • 401K Plan with employer match • Self-Managed PTO • Parental leave • Generous benefits package • Semi-frequent travel to professional office settings and other events locally and nationally • Overnight travel expected
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