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AI Engineer - Core

hilbertsSan FranciscoAI/ML
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Salary
$140K – $170K
Job type
Full-time
Work mode
Remote
Experience
Senior · 4+ yrs
Posted
14 Sept 2026
Status
Open · checked 7d ago

About this role

Hilbert seeks an AI Engineer - Core in San Francisco to build production-grade agentic demand intelligence systems. This role suits an experienced engineer who thrives in startup environments and wants to own critical parts of the core AI architecture.

Role Overview

Hilbert is hiring an AI Engineer - Core to work on a demand intelligence platform in San Francisco. The position involves designing agent architectures, building evaluation systems, and optimizing the trade-offs between accuracy, latency, and cost. The team values hands-on ownership from prototyping to production operations.

Key Responsibilities

Own the evaluation layer for agents, including harnesses, metrics, golden datasets, regression gates, and human-in-the-loop review.
Architect and implement agent workflows using LangChain, LangGraph, or equivalent frameworks, covering state memory, routing, and recovery paths.
Operate systems in production by handling tracing, monitoring, latency, cost-per-task budgeting, and on-call duties.
Diagnose production failures such as hallucinations, tool misuse, and retrieval misses to implement durable fixes and tests.
Set technical standards for agent work, review designs, and define patterns for the team.
Collaborate closely with the founding team and cross-functional partners to communicate technical decisions.

Requirements

4+ years of production software engineering experience spanning APIs, services, and data infrastructure.
2+ years building LLM or agent systems that shipped to production and served real users.
Hands-on experience with LangChain, LangGraph, or equivalent agent and orchestration frameworks.
Strong communication skills with the ability to explain technical decisions to non-technical stakeholders.
Ability to take ownership, navigate ambiguity, and move at startup speed.

Nice to Have

Depth in retrieval-augmented generation (RAG) covering hybrid and graph retrieval, chunking, embedding, ranking, and grounding.
Experience with LLM observability tools such as Langfuse or OpenTelemetry, alongside cost and latency optimization.
Familiarity with Model Context Protocol (MCP), tool-calling frameworks, structured output, and constrained decoding.
Background working at early-stage startups or high-growth environments.

Skills and Tools

LangChain
LangGraph
RAG
Graph-based retrieval
Langfuse
OpenTelemetry
MCP
APIs

Salary and Benefits

Salary range of $140K to $170K with offers for equity and bonus.
100% employer-covered Health, Dental, and Vision premiums with optional dependent coverage.
401k through Human Interest with an immediately vesting employer match.
Generous paid time off (PTO).
Commuter support for San Francisco-based employees.
Lunch vouchers provided via DoorDash for the San Francisco office.

About the Company

Hilbert builds a reasoning engine and demand intelligence platform designed to navigate non-deterministic user behavior across data silos. Customers range from Fortune 500 enterprises to brands like FreshDirect, Blank Street, and Levain Bakery.

How to Apply

Please apply on the official company careers page.

Skills and tech stack

LangChainLangGraphRAGLangfuseOpenTelemetryMCPLLMLLMs

Questions candidates ask

What is the location of the AI Engineer - Core role?

The role is based in San Francisco, with occasional travel for team meets, offsites, or customer engagements.

What is the compensation and benefits package?

The salary ranges from $140K to $170K with equity and bonus offers. Benefits include 100% covered health, dental, and vision premiums, a 401k with immediate vesting match, generous PTO, commuter support, and lunch vouchers.

How many years of experience are required?

Candidates must have 4+ years of production software engineering experience, including 2+ years building LLM or agent systems deployed to production for real users.

What frameworks and tools are used in this role?

The role involves working with LangChain, LangGraph, RAG, graph retrieval, observability tools like Langfuse or OpenTelemetry, and MCP.

What does the hiring process look like?

The hiring journey consists of a short form, an intro call, a technical working session, team conversations, and an offer.

Ready to apply?

The application is on the official hilberts careers page.

Apply on company site