Build a hosted deck-as-code platform that turns AI prompts and structured data into reliable, editable, validated presentation decks using a compiler, browser editor, validation/repair rules, and agent integrations. Requires strong full-stack engineering with compilers/rendering experience and GenAI product building background.
Salary not listed
On-site5+ YOEFullstack Engineering
About the role
What You'll Build
A prompt and structured-brief intake flow that produces a deck outline and spec.
A deck compiler that turns the spec into multi-slide output with data-bound chart, math, and AI-generated image primitives.
A browser editor for reviewing and editing generated slides, backed by validation and repair checks for layout, text, connectors, charts, math, and images.
A presenter, publish, and share flow, plus a thin-client CLI or Codex plugin that lets agents create and validate decks through the hosted API.
What You'll Do
Build the end-to-end hosted authoring app: AI-assisted deck planning, the deck compiler, the browser editor state model, the validation and repair pipeline, and the presenter/publish flow behind a hosted API.
Partner with AI Fund internal teams and 2 to 3 external deck-heavy teams to define pilot scope, success metrics (time-to-first-draft, percent of slides accepted after light edits, layout QA pass rate, publish/share completion), data path, and the MVP cut line.
Design the ladder from prompt-assisted drafting to agent-driven deck creation through the CLI or plugin, keeping every generated deck editable, inspectable, and reviewable rather than a static artifact.
Make decisions about latency, layout validation, repair rules, and rendering reliability so generated decks are trustworthy enough to present and publish.
Work with AI Fund's build team on product wedge, technical risk, and the path from pilot to a broader deck-authoring platform.
What You'll Need
Strong backend and full-stack engineering: shipped production systems involving compilation, rendering, or document processing, with comfort in compilers, parsers, DSLs, or document-as-code, plus React or browser-editor experience.
Demonstrated experience building GenAI products with retrieval, tool use, guardrails, and production feedback loops, including AI-assisted authoring or generation workflows.
Product judgment for human-in-the-loop automation where the right answer is usually to remove busywork rather than replace the human outright.
Ability to iterate with early users and translate ambiguous feedback into working product decisions.
You actively use AI coding assistants and modern GenAI tools as part of your build workflow.
US work authorization.
Helpful but Not Required
Experience with presentation tools, Figma or design tooling, or visual layout engines.
Background in data visualization, chart rendering, or image generation pipelines.
Experience with CLI or plugin developer tools, marketplace or plugin packaging, collaborative document editing, or publishing workflows.
Founder or founding engineer experience shipping a 0-to-1 product.
Skills
ReactGenerative AICompilersParsersDslsDocument ProcessingRetrievalTool UseGuardrailsData VisualizationChart RenderingImage GenerationCliPlugin Development
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