Software Engineer (Full-Stack / Product)

Hilbert's AI; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Hilbert's AI in San Francisco is seeking a Software Engineer who acts as a Product Architect to build the Hilbert Portal, the interactive face of our AI engine. You’ll shape end-to-end experiences from backend orchestration to streaming UX for multi-turn interactions.

You’ll own enterprise-ready systems, API contracts, containerization, and real-time tooling, collaborating with PMs and AI/ML engineers. Strong preference for full-stack generalists who can ship fast in a fast-paced startup

Qualifications

• Must be a product-minded engineer who cares about outcomes as much as the UI.
• Strong full-stack capability across frontend + backend and comfort with self-hosting or deployment in complex environments.
• Experience architecting API contracts, containerization, and modular, scalable systems from day one.
• Comfort navigating ambiguity and delivering usable solutions without formal tickets.

Responsibilities

• Build and scale the Hilbert AI Portal used by Fortune 10 operators.
• Lead the development of streaming, multi-turn interfaces with real-time feedback for AI agents.
• Create packaging logic to deploy web apps into diverse enterprise environments with zero code changes.
• Collaborate with Product Managers and AI/ML Engineers to align model outputs with user actions.

Skills

Product-minded

Full-stack generalist

Systems architect

Ambiguity tolerance

Tools

TypeScript

Node.js (Express)

React

MongoDB

Nx Monorepo

Kubernetes

Job description

The Mission: Build the Interface for Autonomous Growth

At Hilbert’s AI, we shorten "months" to "minutes." But intelligence is useless if it’s trapped in a black box. We are looking for Software Engineers who are "Product Architects" to build the Hilbert Portal, the interactive face of our AI engine.

You aren't just building dashboards or UI components; you are building the "cockpit" for world-class B2C leaders. From architecting the complex backend logic of our Agentic Conversation Engine to ensuring the sub-second responsiveness of our React/ClickHouse analytics, you own the end-to-end experience of human-AI collaboration.

The Hard Problem: Determinism in a Generative World

Building a UI for a standard SaaS is easy. Building a UI for an AI Agent is hard. You have to handle long-running asynchronous tasks, streaming reasoning loops, and multi-turn conversations while maintaining the strict security and configuration requirements of a Fortune 500 enterprise.

Our Current Hurdles:

• Architectural Fluidity: We need our applications to be "Enterprise-Chameleons." You will be designing systems where the Auth method (SAML, OAuth, etc.) or even the underlying Database can be swapped out based on whether the customer is on our cloud or their own private infra.

• The Agentic Engine: We are building a sophisticated engine that handles complex interactions between users and ML models. You’ll be responsible for the state management and backend services that make these non-deterministic interactions feel snappy and reliable.

• The "Design Partner" Sprint: We frequently co-build entirely new products from scratch with industry leaders. You’ll need to move from "napkin sketch" to "production-ready service" in weeks, not months, using our Nx Monorepo and shared library architecture.

• Internal Superpowers: Our AI/ML teams need a "Mission Control." You will build the internal tooling and admin panels that allow our engineers to monitor, tweak, and debug models in real-time.

Who You Are (The Profile)

• The Product-Minded Engineer: You care as much about the "Why" as the "How." You understand that a beautiful UI is a failure if it doesn\'t solve the customer\'s quarterly revenue gap.

• The Full-Stack Generalist: Our core stack is TypeScript, Node.js (Express), React, and MongoDB, but you’re the type of person who isn\'t afraid to self-host a CMS or deploy a VPN server if it unblocks the product.

• Systems Architect: You don\'t just write functions; you build systems. You think about API contracts, containerization (K8s), and modularity from day one.

• Ambiguity Enthusiast: You don’t need a Jira ticket with 20 screenshots. You’re energized by a vague problem and the autonomy to build the solution from the ground up.

What You’ll Own

• The Hilbert AI Portal: Build and scale the primary interface used by Fortune 10 operators to run their growth engine.

• Agentic UX: Lead the development of streaming, multi-turn, and "human-in-the-loop" interfaces that make our AI Agents feel like a natural extension of the team.

• Enterprise Customization: Build the "packaging" logic that allows our web apps to be deployed into diverse enterprise environments with zero code changes.

• Cross-Functional Collaboration: Partner directly with Product Managers and AI/ML Engineers to bridge the gap between model outputs and user actions.

Bonus Points

• AI/ML UX Experience: You’ve dealt with the "streaming and state" headaches of building LLM-powered chat or agent interfaces.

• Platform / Monorepo Mastery: You’ve used Nx, or similar tools to manage complex microservice architectures.

• Internal Tooling Junkie: You have a track record of building tools that make your fellow engineers 10x faster.

• Security Conscious: You understand the fundamentals of building software that passes a SOC2 audit.

Location

San Francisco

Compensation

Competitive salary + equity package, commensurate with experience.

Performance-based bonuses tied to project milestones and customer impact.

The Hiring Journey

Short form → Intro Call → Technical working session → Team conversations → Offer

Fast, human, no bureaucracy.