Software Engineer at talentpluto | CA, US | Rezi

Software Engineer at talentpluto

Software Engineer

talentpluto · CA, US

3 weeks ago

Software Engineer

talentpluto · CA, US

25 days ago
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About the Role

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.

Skills

  • Python
  • Next.js
  • Data infrastructure
  • Data workflows
  • Data pipelines
  • AI/ML

Location

  • San Francisco, CA

Work Type

  • Onsite

Salary/Compensations

  • $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.