About the role

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 do

• 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

What you’ve done

• 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

How we work

• 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.

What’s Different About GIC?

• 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.