The General Intelligence Company of New York-posted 3 months ago
Full-time • Senior
New York, NY
1-10 employees

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.

  • 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
  • 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)
  • Orchestration frameworks
  • Streaming/real-time state sync
  • Safety/guardrails
  • Reinforcement/online eval loops
  • High autonomy
  • Small team with zero politics
  • Real ownership of outcomes
  • Work directly with founders
  • In-person work environment in New York City
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