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.
What you’ll doDesign 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)
Bonus: orchestration frameworks, streaming/real-time state sync, safety/guardrails, reinforcement/online eval loops
In-person in New York; high autonomy; ship fast; iterate daily
Small team, zero politics; you own outcomes end-to-end
Heavy use of modern AI tooling (Cursor, structured outputs, eval pipelines)
High performance team working on the most interesting problems in agents.
No bureaucracy. We hire smart, high-agency people and let them work.
Real ownership. You won’t just push tickets—you’ll shape the product.
Small, elite team. Work directly with founders and have a major impact.
Craft matters. Speed is key, but quality is never sacrificed.
In person, in New York City.
Skills Required
- 5-8+ years in applied ML/AI or research engineering
- Deep experience with LLMs and agentic systems
- Published papers in AI/ML
- Track record moving paper to prototype to production
- Built reliable evaluation harnesses for multi-step tasks
What We Do
The General Intelligence Company is building highly-capable ai agents to run entire businesses autonomously.
