Skip to main content

Aaru

Software Engineer, Applied Ai

NYC$250k–$325kfulltimemidAdded today

About this role

Aaru is seeking a Software Engineer for Applied AI to work on high-leverage initiatives across simulation infrastructure, agent systems, and product development. You'll own full-stack improvements to AI agent capabilities and simulation pipelines, moving from ambiguous problems to reliable, deployed systems using Python, TypeScript, and whatever technologies the job demands.

What you'll do

  • Improve agent functionality including interaction design, tool use, context handling, orchestration, and model behavior
  • Optimize simulation pipelines for throughput and efficiency
  • Build evaluation harnesses and architecture to make agent and simulation capabilities testable and reproducible
  • Prototype and evaluate company bets through focused experiments and technical investigations
  • Work cross-functionally with engineering and GTM teams to make new capabilities usable and dependable
  • Write clear technical designs and documentation with transparent assumptions, dependencies, and tradeoffs

What they're looking for

  • Python
  • TypeScript
  • Full-stack software engineering
  • AI/agent systems (helpful but not required)
  • Evaluation and testing frameworks
  • System design and architecture
  • Cross-functional collaboration
  • Performance optimization
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Aaru

Aaru builds AI-powered population simulation technology that models human behavior at scale using LLMs and classical methods. The company is hiring Simulation Engineers, Platform Engineers, Data Integration Specialists, and Infrastructure Engineers to develop the core systems, data pipelines, and infrastructure that power these simulations.

View all jobs at Aaru

Likely interview questions

  • Describe a time you worked on a loosely-specified problem—how did you reduce ambiguity and define the first meaningful step?
  • Tell us about your experience optimizing system performance; what metrics mattered and how did you measure improvement?
Unlock all 7 questions free — and practice them live →