Applied AI Engineer

Engineering
On-site, San Francisco, CA
Full-time
200k - 240k

Python • React • Next.js • SQL • NoSQL • Airflow • LLMs • Machine Learning • Data Pipelines • Backend Development

About this role

As the first US-based engineer, you'll be architecting and building the core infrastructure that powers human data training for AI labs across non-verifiable domains like design, finance, and multimodal tasks. This is a high-impact role where you'll build internal tooling systems from scratch, competing with industry-leading platforms.

What you'll do

  • Build internal tooling system from scratch (competing with OpenAI's Feather)
  • Design workflows for domain experts to create high-quality training data
  • Deploy LLMs and evaluation pipelines in production
  • Create agent training systems for specific verticals
  • Integrate with enterprise systems (CRMs, payments, data warehouses)
  • Rapid product experimentation and data analysis

What we're looking for

  • 0 - 4 years of experience as a backend-focused, applied AI engineer with steep learning curve
  • Strong proficiency in Python, React, Next.js, SQL/NoSQL, and Airflow
  • Experience with LLMs and machine learning pipelines
  • Ability to build production-ready systems from scratch
  • Experience with data pipeline architecture and enterprise integrations
  • Strong analytical and problem-solving skills
  • Willingness to work in-person 6 days per week in San Francisco

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What we offer

  • Competitive salary ($200k - $240k) and equity package
  • Visa sponsorship available
  • First US-based engineer role with significant ownership and impact
  • Work on cutting-edge AI infrastructure and tooling
  • Build systems competing with industry leaders like OpenAI
  • Direct impact on AI training data quality across multiple domains
  • In-person collaborative environment 6 days per week in San Francisco

This position is with one of our partner companies. Flows is the recruiting partner for this opportunity.