AI Infra Engineer

We’re partnering with a category-defining AI company building one of the fastest-growing consumer products in the world.

At the core of their success is a powerful data flywheel - every interaction improves the system, and every improvement drives more usage. They’re now hiring engineers to build and scale the infrastructure behind that loop.

This is a role for someone who wants to sit at the intersection of product, data, and machine learning , working on systems that directly impact model quality and user experience.

The Role

You’ll work on the pipelines and systems that transform raw user interactions into actionable intelligence - fueling continuous improvement across the product.

This is high-impact, product-facing engineering with a strong data component.

You’ll:

• Build systems that capture, process, and structure large-scale user interaction data
• Design pipelines that feed data back into model training and evaluation loops
• Improve data quality, reliability, and observability across the platform
• Work closely with ML and product teams to translate insights into better outputs
• Help scale infrastructure that powers a rapidly growing global product

What We’re Looking For

This role suits engineers who enjoy working across backend systems and data-heavy environments.

You likely have:

• Strong backend engineering experience (Python, Go, or similar)
• Experience working with data pipelines, ETL systems, or large-scale datasets
• Familiarity with distributed systems and high-throughput architectures
• An interest in machine learning systems or data-driven products
• A product mindset—you think about how systems translate into better user outcomes
• Comfort operating in fast-moving, ambiguous environments

Why This Role?

• You’ll directly influence how an AI system improves itself over time
• You’ll work on the feedback loop that powers product-market fit and retention
• You’ll be part of a company scaling extremely quickly in the AI space
• You’ll operate in a high-ownership environment where engineers shape product direction

Ideal Profile

This is a strong fit for someone who:

• Enjoys building systems that sit between product and ML
• Thinks in terms of feedback loops, not just features
• Wants exposure to both infrastructure and model improvement
• Is motivated by impact, scale, and speed