A

Aaru

AI-driven multi-agent forecasting platform

Infrastructure Engineer

Platform EngineeringPosted on Nov 9
Full-timeNew York, NY, USA

About the Job

Requirements

  • You have built infrastructure, frameworks, or internal platforms for fast-growing engineering teams.
  • You have deep experience debugging performance and reliability issues in distributed systems.
  • You are comfortable working close to networking, storage, compute, and cloud primitives.
  • You have helped transition research or experimental systems into production.
  • You care about developer experience and build systems that other engineers want to use.
  • You are comfortable with strongly typed languages or languages with algebraic type systems.

Responsibilities

  • Design and build low-latency, high-throughput infrastructure for large-scale simulations.
  • Improve the reliability and performance of data ingestion and computation pipelines.
  • Identify system bottlenecks across compute, networking, storage, and orchestration.
  • Build tools and abstractions that help engineering and research teams move faster.
  • Productionize experimental research workflows into reliable, repeatable infrastructure.
  • Own infrastructure decisions from architecture through implementation and operation.

Desired Qualifications

  • Experience with long-running computational pipelines.
  • Strong knowledge of networking protocols such as HTTP, TLS, TCP, or related systems.
  • Experience designing infrastructure for high-scale data or machine learning workloads.
  • A track record of finding and eliminating bottlenecks in complex systems.

About the Company

Aaru

AI-driven multi-agent forecasting platform

Aaru uses multi-agent simulations to forecast outcomes in political polling, business strategy, and global issue modeling. It builds virtual models of real-world actors, runs scalable cloud simulations, and uses machine learning to turn results into actionable forecasts. It differentiates itself by applying multi-agent forecasting to deliver more scenario testing at a lower cost than traditional polling, serving major policy groups and Fortune 500 companies. Its goal is to expand beyond elections to tackle a broader set of societal and business challenges with AI-driven analytics for decision-making.

Company size
51-200
Company stage
Series A
Total funding
$50M
Headquarters
New York City, New York
Founded
2024

Recently Posted Jobs

Explore more opportunities at Aaru

See more jobs