Catalyst Labs is looking for an Applied AI Engineer to help architect the foundation of next-generation Mind Architecture, a system that powers how digital minds learn, reason, and express individuality, by building rich, hierarchical knowledge graphs that mirror how real experts think.
Requirements
- 46+ 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.
- Experience with graph databases or graph-based retrieval (Neo4j, ArangoDB, or custom-built graph layers).
- Familiarity with AWS, distributed systems, and scalable backend architecture.
Responsibilities
- 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.
Other
- Fully on-site, 5 days a week
- Sponsorship available only for candidates already in the United States
- You thrive on hard problems and are motivated by impact over title.
- You’re comfortable building at the intersection of research, product, and systems engineering.
- You have an engineer’s rigor, a creator’s imagination, and a philosopher’s curiosity.
