Software Engineer, Fullstack

Hex•San Francisco, CA

1d•$198,750 - $295,000•Hybrid

About The Position

Hex is hiring a full-stack software engineer to build core workflows that help customers monitor and govern AI agents, ensuring answers are accurate, trustworthy, and grounded in reliable context. The role works across the product stack, from user-facing interfaces and browser-based IDEs to backend language parsers and SQL generation. The engineer will build observability tools that expose agent performance, usage metrics, and conversational audit trails; develop AI context systems for inputs such as free-form rules, certified SQL queries, and semantic models; and create workflows for governing, debugging, and curating the Hex agent’s knowledge. The work also includes backend challenges involving SQL compilation, semantic models, and database-context serialization, as well as frontend UX challenges that make complex technical information clear and actionable. The position is hybrid, with two days per week in the office, based in Hex’s New York City or San Francisco office. Hex’s product is a web-based notebook and app-authoring platform. Its frontend uses TypeScript, React, Apollo GraphQL, and Redux; its backend uses TypeScript, Express, Apollo GraphQL, Postgres, Redis, and Kubernetes. Infrastructure and deployment use Terraform, Helm, and AWS. The salary range is $198,750–$295,000. Hex also offers equity, comprehensive health benefits, and flexible paid time off.

Requirements

At least 4 years of experience as a full-stack software engineer.
Comfort navigating the application stack and building full-stack applications with React, TypeScript, and/or Python.
Strong understanding of front-end and back-end development principles.
Empathy for data teams and understanding of the challenges of answering complex data questions and working with modern data warehouses.
Pragmatic, action-oriented approach focused on delivering high-quality solutions that contribute to business-critical features.

Nice To Haves

Interest in working on AI development, including agent reliability, governance, and model curation.
Appreciation for elegant user experiences and robust, scalable service architecture.

Responsibilities

Build observability tools that provide data teams with visibility into AI agent performance, usage metrics, and conversational audit trails.
Design and implement AI context systems for inputs including free-form rules, certified SQL queries, and deterministic semantic models.
Create full-stack workflows that help data teams govern, debug, and curate the Hex agent’s knowledge.
Address backend problems involving SQL compilation, semantic model development, and serialization of database context.
Develop front-end experiences that present technical information in a clear, actionable, and intuitive way.