Agents Research Lead

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.