Software Engineer; Full-Stack​/Product

Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes.

From Fortune 10 enterprises to beloved brands like Fresh Direct, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co‑building alongside leading AI companies.

We are looking for Software Engineers who are "Product Architects." You aren't just building UI components; you are building the interactive face of an AI Agent. You will own the end‑to‑end flow of how a user interacts with our intelligence, from the complex backend logic of an agentic query engine to the sub‑second responsiveness of a React dashboard.

• Engineering Generalist: Our stack includes Typescript, Mongo, Click House, React, Express, and K8s
  , but you should be the type of person who can self‑host a CMS or deploy a VPN server if that's what the solution requires.

• Product Mindset: You care about why a feature is being built, not just how. You think about the user’s conversation with the AI and how to make it seamless.

• High Ownership: You take a feature from a napkin sketch to a production‑ready, tested service, collaborating with Product Managers and AI/ML Engineers.

• Flexible Architecture: You understand that "Enterprise" means "Configurable." You can build systems where the Auth method or Database can be swapped out based on customer requirements.

• Build and scale the Hilbert AI Portal
  , the primary interface for our customers and internal teams.

• Develop the "Agentic Conversation Engine," handling complex multi‑turn interactions between users and ML models.

• Partner with "Design Partners" and Product Managers to build entirely new software products from scratch for new industries.

• Create internal admin panels and tools that give our AI/ML teams "superpowers" to monitor and tweak models in real‑time.

• Ensure all applications are "Enterprise Ready", containerized, configurable, and secure.

• AI/ML UX
  
  Experience:
  
  You’ve built interfaces for LLMs before (streaming responses, chat history, "human-in-the-loop" interfaces).

• Monorepo
  
  Experience:
  
  Experience with Nx Monorepo or similar tools to manage microservices with shared libraries.

• Platform Development Experience
  :
  You have built your own infrastructural component and deployed your applications using them.
  Location

At least 5 hours overlap with PST timezone (7am-5pm)