About this role
In San Francisco, hilberts is hiring a Senior AI Engineer - Core to build production-grade AI systems and agent architectures end-to-end. This role suits an experienced software professional with a background in scaling production software and LLM workflows in a fast-paced environment.
Role Overview
The Senior AI Engineer - Core position involves building and maintaining production-grade AI systems, from initial prototyping to deployment and pipeline management. The engineer will design agent architectures, construct evaluation systems, and balance latency, accuracy, and cost tradeoffs. Responsibilities span across retrieval, orchestration, and execution within the core AI stack.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
hilberts builds a fully agentic demand intelligence platform that orchestrates multi-step inference over enterprise data to streamline decision cycles. The company serves enterprise customers including Fortune 500 organizations, FreshDirect, Blank Street, and Levain Bakery.
How to Apply
To apply for this position, please visit the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the position located?
The role is based in San Francisco, with occasional travel required for team meets, offsites, or customer engagements.
What are the experience requirements for this role?
Candidates must have 6+ years of production software engineering experience and at least 2+ years building LLM or agent systems that have shipped to production for real users.
What is the salary and compensation package?
The position offers a salary between $180K and $215K, alongside equity and bonus offerings.
What benefits are provided?
Benefits include 100% coverage for health, dental, and vision premiums, a 401k plan with an immediate vesting employer match, generous paid time off, commuter support, and DoorDash lunch vouchers for the SF office.
What frameworks and tools are relevant to the work?
Key tools and frameworks mentioned include LangChain, LangGraph, Langfuse, OpenTelemetry, RAG strategies, and tool-calling frameworks.