Engineer in Residence: Slidelang
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.
About the job
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
React, Generative AI, Compilers, Parsers, Dsls, Document Processing, Retrieval, Tool Use, Guardrails, Data Visualization, Chart Rendering, Image Generation, Cli, Plugin Development
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