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About the Role
We are looking for an AI Engineer to build production-grade AI systems end-to-end, from prototype to pipeline to product, with the ownership and urgency of a startup culture. You will own core pieces of the AI stack that power Hilbert's demand intelligence platform, designing agent architectures, building evaluation systems, and making hard tradeoffs between accuracy, latency, and cost in production.
Responsibilities
- Own the evaluation layer for our agents — harnesses, metrics, golden datasets, regression gates, and human-in-the-loop review.
- Architect and implement agent workflows using LangChain, LangGraph, or equivalent; state memory, routing, tools registries and recovery paths.
- Own systems from experimentation through production and operate in production: tracing, monitoring, latency, cost-per-task budgeting, on-call for what you build.
- Diagnose real production failures: hallucination, tool misuse, retrieval misses, silent degradation and turn each into a durable fix and a test.
- Set the technical standard for agent work at Hilbert: review designs, define patterns others build on, and raise the bar across the team.
- Collaborate closely with the founding team and cross-functional partners — communicating tradeoffs, progress, and technical decisions with clarity.
- Make pragmatic engineering decisions under ambiguity—ship, learn, iterate.
Requirements
- 4+ years of production software engineering: APIs, services, data infrastructure. You've owned code that other people depended on, with tests, CI/CD, and on-call attached.
- 2+ years building LLM or agent systems that shipped to productions watching real users adopt.
- Hands on with LangChain, LangGraph, or equivalent agent/orchestration frameworks.
- Communicate with clarity and conviction.
- Take ownership.
- Thrive in ambiguity.
- Move at startup speed.
Skills
- LangChain
- LangGraph
- Retrieval-augmented generation (RAG)
- Hybrid retrieval
- Graph retrieval
- Observability for LLM systems
- Langfuse
- OpenTelemetry
- Cost optimization
- Latency optimization
- MCP
- Tool-calling frameworks
- Structured output
- Constrained decoding
Location
- San Francisco
Work Type
- Onsite
- Hybrid
Experience Level
- Senior
- 4+ years of production software engineering
- 2+ years on LLM or agentic systems
Benefits
- 100% coverage of Health, Dental, and Vision premiums
- Option to add coverage for dependents or a spouse
- 401k through Human Interest with employer match that vests immediately
- Generous PTO
- Commuter support
- Lunch vouchers via DoorDash
About the Company
- Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos — turning months-long decision cycles into minutes. Fully agentic by design, our demand intelligence platform doesn't just call APIs; it solves the hard problem of orchestrating multi-step inference over messy, high-stakes enterprise data where deterministic answers don't exist.
- From Fortune 500 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies.
- At Hilbert, we move fast, work collaboratively, and give people real ownership over their impact. As a fast-growing company, there's no shortage of room to grow — you'll take on new challenges quickly and shape the path as you go.
Equal Opportunity
- Hilbert is an Equal Opportunity Employer. We are committed to building a diverse team and an inclusive culture, and we welcome applicants of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other status protected by applicable law.