Founding Multi-Agent AI Systems Engineer

Primis

New York (NY)

On-site

USD 300,000 - 500,000

Full time

42 hours ago
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Benefits offered by this job

Top-of-market compensation
Flexible base/equity packages
On-site work at NYC

Job summary

Primis in New York City is seeking a hands-on engineer to build the next generation of simulation platforms. You will design and run multi-agent systems, orchestrating thousands of LLM agents, each with memory and state, to test ideas against audiences, culture, brands, and real behavior.

This intense on-site role rewards experimentation, calibration, and rapid learning, with a focus on translating research into production-ready pipelines and scalable serving stacks.

Qualifications

  • Hands-on experience in simulation, synthetic populations, forecasting, causal inference, or behavioral data.
  • Experience building LLM multi-agent systems in production or research.
  • Experience deploying open-weight models and serving stacks; profiling bottlenecks.

Responsibilities

  • Design and build multi-agent simulation systems with thousands of LLM agents.
  • Model interactions of ideas with audiences, culture, brands, and market signals.
  • Calibrate prompts, bias, variance, and drift against real human responses.
  • Build experimentation, calibration, uncertainty, and validation pipelines.
  • Serve open-weight models on in-house clusters at scale with fidelity.

Skills

Simulation experience
ML engineering
Open-weight models deployment

Tools

KV/prefix caching
Quantisation (AWQ, GPTQ, FP8)
Multi-LoRA serving

Job description

Primis in New York City is seeking a hands-on engineer to build the next generation of simulation platforms. You will design and run multi-agent systems, orchestrating thousands of LLM agents, each with memory and state, to test ideas against audiences, culture, brands, and real behavior.

This intense on-site role rewards experimentation, calibration, and rapid learning, with a focus on translating research into production-ready pipelines and scalable serving stacks.

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