AI Engineer - Enterprise at Hilbert's AI

AI Engineer - Enterprise

Company: Hilbert's AI Location: San Francisco, California (Hybrid with occasional travel)

Hilbert is developing an agentic reasoning platform that transforms extended decision cycles into rapid outcomes by orchestrating multi-step inference across fragmented enterprise data. The company serves Fortune 500 enterprises and recognized brands including FreshDirect, Blank Street, and Levain Bakery.

Primary Responsibilities

Building AI Systems

Design and implement agent-based workflows using LangChain, LangGraph, or similar frameworks

Develop AI-driven features and production pipelines serving enterprise customers

Own systems from experimentation through deployment and monitoring

Construct and refine evaluation pipelines measuring AI performance

Make engineering tradeoffs between accuracy, latency, and cost

Enterprise Customer Partnership

Serve as technical AI advisor for major accounts, understanding their operational workflows

Present AI capabilities and results to senior stakeholders with clarity and nuance

Translate customer business challenges into agentic solutions

Design customer-specific configurations integrating with diverse platforms

Communicate evaluation findings building customer confidence

Core Technical Challenges

Intelligent retrieval combining RAG, graph-based approaches across heterogeneous data environments

Robust agentic workflows handling edge cases and escalating appropriately to human oversight

Systematic evaluation frameworks predicting real-world performance

Multi-platform agent integration with human-in-the-loop safeguards

Required Qualifications

Strong software engineering foundation with production-ready code quality

Hands-on experience building with LangChain, LangGraph, or equivalent orchestration tools

Proven ability presenting technical work to senior enterprise stakeholders

Product-oriented mindset understanding business context drives technical decisions

Excellent communication skills across technical and non-technical audiences

Ownership mentality and startup-speed execution

Preferred Experience

Customer-facing technical roles (solutions engineering, applied AI, technical account management)

Building evaluation pipelines and metrics for AI systems

Backend software engineering (APIs, services, data infrastructure)

RAG, vector databases, or LLM-powered search systems

Retail, e-commerce, or enterprise B2C environments

Early-stage startup experience

Compensation: Competitive salary plus equity package (experience-based). Performance bonuses tied to project milestones and customer impact.