Summary
✨ AI‑Generated
We are looking for a founding software engineer to develop an AI‑driven solution for managing extensive document workflows in the food and beverage sector. The position offers equity, deep industry discovery, and a high conversion rate from demo to pilot, addressing critical documentation challenges.
Highlights
Founding role with equity participation, deep industry insight, high demo‑to‑pilot conversion, and impact on solving critical documentation challenges in the food and beverage sector.
Description
Hiring a Founding Software Engineer — live product, 100% demo-to-pilot conversion.
F&B Codex Inc.
is an AI workforce built for the food & beverage industry.
The problem we solve: Food and beverage companies run on thousands of documents—specifications, certificates of analysis, SOPs, and label artwork—scattered across quality, regulatory, R&D, packaging, and supply chain teams’ databases.
This workflow complexity creates a massive operations bottleneck.
The result? Delayed product launches and incorrect paperwork that trigger multi-million dollar food recalls.
Why Join Us?
Meaningful founding equity.Grounded in Deep Domain Discovery: We built Version 1 on the back of 100+ deep customer discovery interviews, including insights from teams at CPG leaders like Nestlé, Coca-Cola, and Mondelēz.100% Demo-to-Pilot Conversion: Every single customer that saw our initial demo committed to a trial on the spot because our product directly solves their massive documentation pain points.Immediate Customer Traction: We’ve already locked in two design partners under signed NDAs and a major contract manufacturer for our initial pilot.Deep Domain Leadership: Founded by an experienced food scientist who brings deep industry expertise and connections, and if you love food, you’ll be fascinated by the science behind everything we eat!
As a Founding Software Engineer, you will be responsible for architecture, AI systems, data pipeline, infrastructure, security, and releases.
Requirements:
Must have shipped AI features to production and be comfortable owning architecture and core product reliability from day one.Must understand how to route tasks across different model tiers, using large models for generation and smaller models for classification and structured reasoning.You know when to use an LLM and when to write deterministic code.Hands-on experience with document processing across spreadsheets, Word, PowerPoint, and PDFs.Must have knowledge about integrations with the systems where customers already keep their documents.You’ve built multi-tenant SaaS from scratch — auth, ingestion pipelines, CI/CD, monitoring, and SOC 2 Type II readiness.You want to run engineering, not just contribute to it.
Stack: TypeScript, Node, Python, Postgres, semantic search, LLM and agent infrastructure
