AI Engineer - Enterprise

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.