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Software Engneer Backend

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: The North Consulting
Part Time position
Listed on 2026-10-10
Job specializations:
  • Software Development
    Backend Developer, Python, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Overview

About the job Software Engneer Backend -

About the role

Our Client mission is to democratize safe, trustworthy, and reliable AI. We believe the most promising path to such AI follows a data-centric approach. We build open-source algorithms and no-code SaaS solutions based on our research to help individuals and teams systematically and algorithmically curate high-quality datasets, which enables AI systems to train reliably on real-world messy and error-prone data.

As a backend software engineer, you will be responsible for building the backend APIs, a user-friendly web app powered by our data-centric ML algorithms.

Responsibilities
  • Build backend APIs
  • Develop a user-friendly web app powered by our data-centric ML algorithms
Qualifications
  • 1 - 10 years of experience software engineering & data platform architecture and engineering skills. We just want really bright engineers, and believe they can learn any new tech stack in a week.
  • Strong software engineering & data platform architecture and engineering skills. You have likely built significant backend distributed systems.
  • CS degree from a top university (MIT, Ivy League, Stanford, UC Berkeley etc).
  • Able to work in-office with the team in San Francisco at least 3 days a week.
  • Previous experience at a top-tier tech company or startup.
  • Strong experience with Python beyond scripting (most of our Backend is written in Python).
  • Strong AWS development experience. Not "just" setting up infra, but also writing apps/services using the infra.
  • Solid understanding of current and future cloud offerings and risks related to security, privacy, data ingestion, processing, and storage.
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