Applied AI Engineer

Catalyst Labs
San Francisco, CT
Category Research
Job Description
As an Applied AI Engineer, you'll help architect the foundation of next-generation Mind Architecture, the system that powers how digital minds learn, reason, and express individuality. You'll work at the intersection of graph systems, LLM reasoning, and scalable AI infrastructure, bringing together symbolic structure and neural intelligence to redefine how knowledge lives digitally.

Requirements

  • Design and evolve the graph-based architecture that models a mind's reasoning, associations, and conceptual hierarchies.
  • Develop novel embeddings and contextual retrieval methods that make each mind distinct not just accurate, but alive.
  • Build next-generation retrieval-augmented generation systems that integrate structured graph reasoning with neural retrieval.
  • Implement and refine LLM evaluation frameworks to ensure each mind improves over time in quality, consistency, and individuality.
  • Push the performance of frontier LLMs through advanced prompt engineering, dynamic context shaping, and evaluation-driven iteration.
  • Architect efficient, low-latency inference pipelines for thousands of simultaneous mind interactions.
  • Bridge ML systems and product engineering shipping AI-powered features that shape user experience directly.
  • Translate abstract research ideas into robust, scalable production systems powering thousands of live digital minds.
  • Define success metrics for 'mind quality' advancing tone, style transfer, and reasoning fidelity.
  • Build systems that continuously refine a digital mind's authenticity and expressiveness.

Benefits

  • Unlimited Learning Stipend
  • Comprehensive Health, Dental, and Vision coverage
  • 401(k) via Human Interest
  • Relocation assistance to San Francisco (if applicable)
  • A creative, high-agency culture that celebrates curiosity and deep thinking
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