Applied AI Engineer

Catalyst Labs
San Francisco, TX
Job Description
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We are seeking an Applied AI Engineer to help architect the foundation of next-generation Mind Architecture, the system that powers how digital minds learn, reason, and express individuality. The role will involve designing and evolving graph-based architecture, building novel embeddings and contextual retrieval methods, and pushing the performance of frontier LLMs through advanced prompt engineering, dynamic context shaping, and evaluation-driven iteration.

Requirements

  • 4-6+ years of experience in AI or ML engineering, with at least 12 years hands-on with LLMs in production.
  • Proven track record of building and deploying ML-powered systems that directly impact end-user experience.
  • Strong Python expertise, including asynchronous programming, event loop optimization, and performance tuning.
  • Experience with retrieval-augmented generation (RAG), context engineering, and LLM eval frameworks.
  • Deep practical understanding of how LLMs reason, how to structure inputs, and how to measure improvement.

Benefits

  • Unlimited Learning Stipend
  • Comprehensive Health, Dental, and Vision coverage
  • 401(k) via Human Interest
  • Relocation assistance to San Francisco
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