- Experience building AI agents from first principles - planning loops, execution engines, memory + tool interfaces.
- Strong distributed systems experience - scalable, fault-tolerant services across clustered compute.
- LLM orchestration experience (LangChain, LlamaIndex, DSPy or similar) - including extending frameworks.
- RAG pipelines, vector databases + persistent memory systems.
- Exposure to RL, simulation or autonomous decision systems preferred.
- CS / ML / Maths background from a top institution.
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Machine Learning Engineer - New York - Acquire Me
Description
(SWE) AI Agents Developer – Systematic Trading
My client is a renowned systematic hedge fund building out a next‑gen AI capability focused on autonomous research, execution and decision support across liquid markets.
They are hiring an AI Agents Developer to design and deploy agentic systems that can reason, plan and act across complex trading and research workflows. This is a greenfield build sitting at the intersection of LLMs, reinforcement learning, market microstructure and high-performance engineering. You'll be working directly with researchers, traders and infra teams to push AI beyond copilots → into fully autonomous trading agents.
What they're looking for
Comp = highly competitive base + guaranteed cash bonus + sign‑on (top‑of‑market for agentic AI talent).
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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