Agents Research Lead

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.

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  Design and run experiments across model selection, prompting, tool-use, memory, planning, and multi-agent coordination

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  Lead evaluations: build datasets, success criteria, and continuous benchmarks for real workflows

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  Push performance: reduce tail latency and failure modes; improve determinism, throughput, and cost per successful run

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  Partner with eng/product to ship weekly

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  Mentor a small, senior team; set standards for experiment design, code quality, and documentation

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  Push state-of-the-art results on custom agent systems

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  Pursue advanced memory research for multi agent systems

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  5–8+ years in applied ML/AI, ML systems, or research engineering; high-ownership startup experience preferred

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  Deep experience with LLMs and agentic systems: prompting, function/tool calling, planning, retrieval/memory, evals

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  Track record moving paper → prototype → production (Python; comfort with distributed systems a plus)

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  Published papers in AI/ML that are directly applicable to modern agentic systems

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  Built reliable evaluation harnesses and curated datasets for multi-step tasks

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  Shipped improvements that moved core business metrics (success rate, latency, unit economics)

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  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.