Senior AI Engineer - Core

These are the kinds of problems you'll walk into on day one:

Intelligent retrieval across heterogeneous approaches — our agents need the right information at exactly the right moment.

The challenge isn't picking one retrieval method; it's combining RAG, graph-based retrieval, and other approaches into a unified strategy that fetches the most relevant content precisely when the agent needs it — no more, no less.

Agentic workflows that solve real-world problems — it's building workflows robust enough to handle the unexpected.

When an agent hits an edge case, missing data, or a situation it wasn't explicitly designed for, it needs to reason through it — leveraging available context, escalating to a human when it can't, and never silently failing.

Evaluation beyond vibes — we need systematic, reproducible evals that actually predict real-world performance.

If you've built custom evaluators for RAG or agent workflows, we want to talk.

Execution and real-world integration — an agent that only surfaces insights isn't enough.

We're building systems where agents take action — integrating with external platforms, executing workflows, and doing real work with the information they have, combined with human-in-the-loop checkpoints that keep enterprise trust intact.

We care about what you've shipped and how you think, but as a Senior, we expect you to demonstrate 6+ years of building production software, with at least 2 of those on LLM or agentic systems that real users depend on.

6+ 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.

Not internal demos, not prototypes.

Be ready to talk about what broke in production and what you did about it.

Hands on with LangChain, LangGraph, or equivalent agent/orchestration frameworks.

You've built with them, hit their limits, and worked around them.

You operate beyond just following tutorials.

You communicate with clarity and conviction.

You can explain a technical decision to a non-technical founder and debate architecture tradeoffs with a senior engineer.

Communication is not a nice-to-have here — it's core to the role.

You take ownership.

You don't wait for tickets.

You see what needs to be built, raise your hand, and ship it.

You thrive in ambiguity.

AI products evolve fast.

change.

You're energized by figuring it out.

You move at startup speed.

Without waiting for permission, and you know which decisions deserve a day of thought and which deserve an hour.

Strong pluses:

Retrieval-augmented generation (RAG) at depth: Hybrid and graph retrieval, chunking and embedding strategy, ranking, grounding

Observability for LLM systems (Langfuse, OpenTelemetry, or equivalent) and cost/latency optimization

MCP, tool-calling frameworks, structured output and constrained decoding

Experience at early-stage startups or high-growth environments where you wore multiple hats

You might be:

A backend engineer who went deep on LLMs and never looked back.

An ML engineer who realized they love building products, not just models.

A startup CTO who wants to go deep on AI at a company where the stack is the product.

Someone who's been hacking on agents and pipelines nights and weekends and wants to do it full-time with real enterprise stakes.

What matters: you ship, you own it, and you communicate like a teammate — not a silo.

San Francisco, with occasional travel for team meets, offsites or customer engagements.

Short form → Intro call → Technical working session → Team conversations → Offer

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.

On top of that, here's how we take care of our team:

Health & wellness.

We cover 100% of your Health, Dental, and Vision premiums — with the option to add coverage for dependents or a spouse at additional cost.

Financial future.

Plan ahead with our 401k through Human Interest, including an employer match that vests immediately.

Time to recharge.

Enjoy generous PTO so you can rest, travel, and spend time on what matters most outside of work.

Commuter support.

Based in SF?

We help cover your commuting costs.

Lunch, covered.

In the SF office, we provide lunch vouchers via DoorDash.

And many more.

We're always looking for new ways to support our team.

Come build the future with us, and grow alongside a company that's investing in yours.

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.