Software Engineer, Applied Ai

About this role

## About Aaru

Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a modeled environment. Companies and institutions use these simulations to test consequential choices before committing—from product launches and pricing decisions to strategic communications and policy changes.

Building a useful simulation requires more than generating plausible text. Populations must represent real people and groups; predictions must be calibrated; simulations must remain coherent as conditions change; and the product must make the resulting evidence legible enough to support real decisions.

We are a small, in-person team in New York. We work with urgency, high ownership, and intellectual honesty. We expect people to surface inconvenient evidence, change their minds quickly, and carry important work all the way to a result.

## About Applied AI

The Applied AI team works across the stack to improve Aaru's simulation pipelines and explore new product areas where simulations can be useful. The work can range from infrastructure and platform systems to frontend experiences and APIs. It is organized around the highest-leverage initiatives the company is pursuing, rather than a fixed technical domain. Applied AI Engineers own outcomes across the stack and work cross-functionally with other engineering teams and GTM teams such as Deployment to ensure that what we build becomes a strong product and developer experience.

## The role

As an Applied AI Engineer, you will work on high-leverage initiatives at the intersection of AI systems, simulation infrastructure, and product development. You will improve existing capabilities, help prototype and evaluate promising company bets, and turn experimental ideas into reliable systems. The work is initiative-driven rather than defined by a fixed product roadmap or a single layer of the stack.

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