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Agents Research Lead

United States, New York 400000.00 - 600000.00 USD / Year · Job Posted February 21, 2026
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Job Description

At General Intelligence Company, we’re building highly-capable autonomous agents for startups. Our goal is to enable the one-person, one-billion-dollar company. Our agents don’t just automate workflows - they replace them. We're looking for a researcher to lead our applied AI team to work towards our goal of fully autonomous businesses.

Job Responsibility

  • Design and run experiments across model selection, prompting, tool-use, memory, planning, and multi-agent coordination
  • Lead evaluations: build datasets, success criteria, and continuous benchmarks for real workflows
  • Push performance: reduce tail latency and failure modes
  • improve determinism, throughput, and cost per successful run
  • Partner with eng/product to ship weekly
  • Mentor a small, senior team
  • set standards for experiment design, code quality, and documentation
  • Push state-of-the-art results on custom agent systems
  • Pursue advanced memory research for multi agent systems

Requirements

  • 5–8+ years in applied ML/AI, ML systems, or research engineering
  • high-ownership startup experience preferred
  • Deep experience with LLMs and agentic systems: prompting, function/tool calling, planning, retrieval/memory, evals
  • Track record moving paper → prototype → production (Python
  • comfort with distributed systems a plus)
  • Published papers in AI/ML that are directly applicable to modern agentic systems
  • Built reliable evaluation harnesses and curated datasets for multi-step tasks
  • Shipped improvements that moved core business metrics (success rate, latency, unit economics)

Nice to have

Bonus: orchestration frameworks, streaming/real-time state sync, safety/guardrails, reinforcement/online eval loops

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