Software Engineer, AI Agent

Hex•San Francisco, CA

6h•$198,750 - $295,000•Hybrid

About The Position

Hex is seeking senior- and staff-level full-stack engineers to build its Magic AI features and agent platform. The role focuses on developing AI-powered features that augment analytics workflows, in partnership with the Research team on context and model prompting and with product engineering teams on platform integration. The engineer will own scalable agent infrastructure and experimentation tools that help the team rapidly deliver AI features. The work is intended to improve how Hex customers understand and work with data. The product is a web-based notebook and app authoring platform. Its frontend uses TypeScript and React, with Apollo GraphQL and Redux for application state and data. Its backend uses TypeScript with an Express/Apollo GraphQL server and integrates with Postgres, Redis, and Kubernetes to manage its database and Python kernels. Infrastructure and CI/CD use Terraform, Helm, and AWS. The role is hybrid, based at the San Francisco headquarters or New York City office, with an expected 1–2 office days per week. The salary range is $198,750–$295,000. Hex also describes a competitive total rewards package that includes market-benchmarked salary and equity, comprehensive health benefits, and flexible paid time off.

Requirements

At least 4 years of software engineering experience.
Proficiency with React and TypeScript.
Knowledge of architecture and systems design.
Experience leading and executing major product initiatives.
Ability and interest to investigate browser behavior and develop high-quality, performant user experiences.
Aptitude for web infrastructure and developing high-quality internal developer and external user experiences.
Strategic thinking and ability to align with business and product goals while balancing velocity and engineering excellence.
Interest in the data space and enthusiasm for shipping products and building tools that empower end users.
Experience maintaining a high quality bar for design, correctness, and testing.
Ability to lead product initiatives while collaborating with and mentoring other engineers.

Nice To Haves

Curiosity about the broader aspects of building a company, including go-to-market, customer development, people, and marketing.

Responsibilities

Build AI-powered product features that augment and accelerate analytics workflows.
Partner with the Research team on context and model prompting.
Collaborate with product engineering teams to integrate AI features into the platform.
Own scalable agent infrastructure powering data agents.
Build experimentation tooling that enables the team to deliver new AI features rapidly.
Lead and execute major product initiatives.
Develop high-quality, performant user experiences, including work involving browser behavior and web infrastructure.
Maintain high standards for design, correctness, and testing.
Collaborate with and mentor fellow engineers.
Align engineering work with business and product goals while balancing delivery speed and engineering quality.