AI/LLM Engineer
Apply by EmailArchitect and optimize prompt orchestration, structured generation schemas, and multi-stage LLM workflows that power book creation.
Help us build better tools for writing, evaluating, and publishing books with AI.
Explore OpportunitiesWe welcome inquiries from people with expertise in AI, software engineering, editorial quality, and publishing technology.
Architect and optimize prompt orchestration, structured generation schemas, and multi-stage LLM workflows that power book creation.
Establish empirical evaluation datasets, benchmarking frameworks, and quality metrics for long-form AI manuscript generation.
Develop automated testing suites, regression testbeds, and pipeline assertions to ensure consistent generation quality.
Build and scale the BookSpace web platform, authoring workspaces, edge APIs, and production data workflows.
Engineer programmatic typesetting pipelines converting approved manuscripts into publication-ready PDF, EPUB, DOCX, and LaTeX.
Critique and audit AI-generated manuscripts for structural coherence, argumentative rigor, voice consistency, and factual integrity.
Shape chapter architecture, conceptual hierarchies, and narrative momentum for complex non-fiction and educational books.
Design clean, focused authoring interfaces that make planning, reviewing, and publishing books feel calm and structured.
Develop methodologies for source verification, research synthesis, and authoritative documentation for authors.
Articulate BookSpace's value to authors, researchers, and publishers through substantive, hype-free content and organic acquisition.
Tell us about your experience and how you could contribute to BookSpace.ai.