Hilbert's AI

AI Engineer - Core

San Francisco · Senior · Full-time

Sponsorship not specifiedDetected 147 days ago

Vector DatabasesRESTMachine LearningLLMsRAGLangGraphAI OrchestrationA/B TestingCommunication

About the role

You'll work directly with the founding team and across product, data, and GTM to design, build, and improve the AI systems at the heart of Hilbert.
The environment is high-autonomy and high-ambiguity - the nature of building AI-native products means requirements shift, approaches evolve, and the person closest to the problem often makes the call.

Architect and implement agent-based workflows using LangChain, LangGraph, or equivalent orchestration frameworks
Own systems end-to-end - from experimentation through production deployment and monitoring
Build and improve evaluation pipelines to measure, validate, and iterate on AI system performance
Collaborate closely with the founding team and cross-functional partners - communicating tradeoffs, progress, and technical decisions with clarity
Agentic workflows that solve real-world problems - it's building workflows robust enough to handle the unexpected.
When an agent hits an edge case, missing data, or a situation it wasn't explicitly designed for, it needs to reason through it - leveraging available context, escalating to a human when it can't, and never silently failing.
We're building systems where agents take action - integrating with external platforms, executing workflows, and doing real work with the information they have, combined with human-in-the-loop checkpoints that keep enterprise trust intact.

You have real experience with LangChain, LangGraph, or equivalent agent/orchestration frameworks.
You can explain a technical decision to a non-technical founder and debate architecture tradeoffs with a senior engineer.

Exposure to retrieval-augmented generation (RAG), vector databases, or LLM-powered search and recommendation systems
Experience at early-stage startups or high-growth environments where you wore multiple hats

Competitive salary + equity package, commensurate with experience. Performance-based bonuses tied to project milestones and customer impact.

A backend engineer who went deep on LLMs and never looked back.
An ML engineer who realized they love building products, not just models.
A startup CTO who wants to go deep on AI at a company where the stack is the product.
Someone who's been hacking on agents and pipelines nights and weekends and wants to do it full-time with real enterprise stakes.
Design, build, and maintain AI-driven features and pipelines that serve enterprise customers at scale

This listing is sourced directly from Hilbert's AI's careers page and normalized into a canonical job model.