Software Engineer, Curator

Hex Technologies•New York, NY

5h•Hybrid

About The Position

At Hex we are using AI to reinvent how business users interact with data, enabling rich data exploration using natural language. The Curator team is responsible for the critical workflows that our customers use to monitor and govern these AI agents, so that users receive answers that are consistently accurate, trustworthy, and grounded in truth. Our vision is to be the control center for AI agents within the modern data stack, sitting at the nexus of AI engineering, workflow design, and data modeling to keep up with a fast-moving space.

Requirements

3+ years of experience as a full-stack software engineer, comfortable navigating the entire application stack and building full-stack applications with React, Typescript, and/or Python.
You have a strong understanding of front-end and back-end development principles, with an appreciation for both elegant user experiences and robust, scalable service architecture.
You have empathy for data teams and understand the challenges involved in answering complex data questions and working with modern data warehouses.
You are excited by the opportunity to work at the forefront of AI development, tackling novel problems in agentic reliability, governance, and model curation.
You are pragmatic and action-oriented, focused on delivering high-quality solutions that directly contribute to business-critical features.

Responsibilities

Build observability tools that provide data teams with critical control and visibility, surfacing agent performance, usage metrics, and conversational audit trails for AI-driven insights.
Design and implement AI context systems, managing structures for diverse inputs such as free-form rules, certified SQL queries, and deterministic semantic models.
Create robust, full-stack workflows that allow data teams to effectively govern, debug, and curate the Hex agent’s knowledge, ensuring the reliability and trustworthiness of AI-generated answers across the entire organization.
Tackle challenging back-end problems related to SQL compilation, semantic model development, and serializing database context to ensure deterministic and accurate AI outputs.
Solve complex front-end UX challenges to present a large volume of technical information in an actionable, clear, and intuitive user interface.