Software Engineer

Global Lehman Consulting; New York (NY); On-site; USD 200,000 - 440,000; Full time

Job summary

Aaru is building AI systems in New York City focused on scalable platform and infrastructure for large-scale simulations and agent workflows.

You will design and implement high-performance backend systems and data pipelines, driving end-to-end ownership with a small, elite team. This onsite role requires collaboration with product, research, and leadership to push cutting-edge AI capabilities forward.

Qualifications

• 1+ years of experience in full-stack, backend, or infrastructure engineering.
• Experience at a high-bar startup, top team, or quant environment.
• End-to-end product or system ownership.
• Strong full-stack or backend skills (T-shaped).
• Top school degree (CS, Math, Physics, or similar).
• Experience with LLMs or agent-based systems.
• Proficiency in Python, TypeScript, or Rust.
• Highly collaborative and able to work with product/design/founders.
• Willing to work 6 days/week onsite in NYC.

Responsibilities

• Design and build high-performance backend and infrastructure systems.
• Develop LLM-powered simulation and agent systems.
• Build scalable data ingestion and processing pipelines.
• Optimize system performance, reliability, and latency.
• Work end-to-end across product, research, and engineering.
• Collaborate closely with founders and cross-functional teams.

Skills

Full-stack/backend

LLM/agent systems

Python

TypeScript

Rust

System ownership

Collaboration

Onsite NYC

Education

Top CS/Math/Physics degree

Job description

Software Engineer — Aaru (Platform / Infrastructure)

New York City (Onsite, 6 days/week)

$200K–$440K base + equity

About Aaru

Aaru is building AI systems that simulate and predict human behavior at scale using LLMs and agent-based architectures.

The company has grown from $0 to 8-figure TCV in under a year and is already profitable

Backed by top investors and working with partners like EY and Accenture, Aaru is operating at the frontier of predictive intelligence.

The Role

You will work across platform and infrastructure, building systems that power large-scale AI simulations and agent workflows.

What You’ll Do

• Design and build high-performance backend and infrastructure systems
• Develop LLM-powered simulation and agent systems
• Build scalable data ingestion and processing pipelines
• Optimize system performance, reliability, and latency
• Work end-to-end across product, research, and engineering
• Collaborate closely with founders and cross-functional teams

Must-Haves

• 1+ years of experience in full-stack, backend, or infrastructure engineering
• Experience at a high-bar startup, top team, or quant environment
• End-to-end product or system ownership
• Strong full-stack or backend skills (T-shaped)
• Top school degree (CS, Math, Physics, or similar)
• Experience with LLMs or agent-based systems
• Proficiency in Python, TypeScript, or Rust
• Highly collaborative and able to work with product/design/founders
• Willing to work 6 days/week onsite in NYC

Nice to Have

• Experience in growth-stage startups (10 → 100 engineers)
• Background at Series B+ companies
• Deep interest in AI systems and predicting human behavior

Why Join

• Series A company at $1B valuation
• Small, elite team with high ownership
• Work directly on cutting-edge AI systems
• Fast growth, real revenue, and strong pipelineHigh-impact role with significant upside