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Founding AI Engineer at Modos AI Inc

Join an exceptional founding team from Dropbox AI, Meta, and Amazon as the Founding AI Engineer for a pre-Series A startup building the first connected-data intelligence platform for enterprise transformation. You will architect the entire intelligence layer from first principles, solving mission-critical challenges in RAG security, workflow discovery, and LLM safety. This is a rare opportunity for a high-impact engineer with a public track record in ML to secure founding-level equity while building production systems that provide deterministic, auditable AI output for the world's largest enterprises.

Overview

Role overview

You will architect the intelligence layer of an enterprise AI transformation platform from the ground up. This hands-on leadership role involves designing deterministic, auditable systems that automate complex workflows by connecting disparate enterprise data. You will bridge applied science with production engineering to solve genuinely original problems in retrieval and reasoning.

Company

Modos AI Inc

Modos AI Inc

Pre-Series A enterprise intelligence startup founded by ex-Dropbox AI leadership and backed by top-tier talent from Meta and Amazon

Responsibilities

What you will do

  • Design and ship the hybrid search and retrieval layer, ensuring it is semantically powerful, permissions-correct, and robust against adversarial failure modes.
  • Build systems that extract structured signals from noisy enterprise activity to model and automate repeatable workflows across tools like CRM, chat, and email.
  • Act as a public technical leader for the company, representing the platform's AI vision to C-suite customers, investors, and the broader research community.

Candidate profile

Who this is a fit for

  • Proven track record of shipping production LLM systems at scale with a background in Applied Science or ML research (NLP, IR, or Knowledge Graphs).
  • Recognized impact in the AI space through published research, widely-used open-source contributions, or significant thought leadership known to the community.
  • Deep expertise in information retrieval beyond vector search, with specific experience in hybrid retrieval, security trimming, and evaluation methodologies.

What makes it remarkable

Why this role is remarkable

  • Work directly with founders who previously built and led the AI organizations at Dropbox, Meta, and Amazon, shaping an AI-native company from day one.
  • Tackle unsolved, research-grade problems at the intersection of AI and enterprise, including ACL-correct retrieval and evidence-grounded workflow discovery.
  • Receive a founding-level equity grant in a high-growth, pre-Series A startup that is redefining how enterprises automate cross-app workflows.

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