The client is reimagining how knowledge is shared by building interactive digital minds that people can talk to, learn from, and be guided by. They aim to make human wisdom abundant, personalized, and discoverable, and preserve legacies, unlock opportunity, and scale brilliance across generations. The Applied AI Engineer will help architect the foundation of this next-generation Mind Architecture.
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.
