# Software Engineer

**Company:** [talentpluto](https://jobs.workable.com/companies/2nYWUi59rZSM8FgpK1mqSr.md)
**Location:** San Francisco, United States
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](https://jobs.workable.com/view/c86a8bc6-b7b4-4305-ad73-fb3a532709f6)

## Description

**Location:** San Francisco, CA

**Work Model:** Onsite

**Industry:** Applied AI / AI research data

**Compensation:** $180K-$220K base, $280K-$500K OTE

### About the Company

Our partner is a fast-growing applied AI company that builds high-quality reinforcement-learning environments, agents, and data sold to the world's leading frontier AI labs. They recently grew from under twenty people to more than fifty in a matter of months and have reached a nine-figure revenue run rate. Their work directly powers foundation-model development across the industry.

### The Opportunity

As one of the first engineering hires, you will build and scale the data infrastructure behind the company's products: complex data workflows and high-throughput pipelines that hold up under heavy load. You will work across Next.js on the web and Python for desktop applications.

This is a high-ownership IC role for an engineer who ships fast, owns projects end to end, and wants their work to directly power the most important model development happening today.

### Responsibilities

-   Build and scale complex data workflows that support the company's core products.
-   Architect and optimize high-throughput data pipelines that perform under heavy load.
-   Ship web features in Next.js and desktop applications in Python.
-   Own projects end to end, from design through production.
-   Help set engineering best practices as one of the earliest members of the team.

### Requirements

-   Experience building and scaling complex data workflows and high-throughput data pipelines.
-   Experience with heavy-load, production systems.
-   Strong Python, plus experience with Next.js or a comparable modern web framework.
-   A track record of owning projects end to end and shipping quickly in a fast-paced environment.
-   Background at a top-tier tech company, financial institution, or high-growth startup; data infrastructure for AI/ML systems is a plus.
-   A track record of meaningful tenure and impact at previous companies.
-   Able to work onsite in San Francisco.