Staff Software Engineer - Agentic Products

Facility Grid LLC

4d•$180,000 - $225,000•Remote

About The Position

Facility Grid builds commissioning and turnover software for the teams that bring large buildings online: data centers, airports, hospitals, and commercial real estate. Our platform is the system of record proving every piece of equipment was installed, tested, and accepted. Founded in 2012 and backed by Nexa Equity, we are about 30 people with a small, onshore engineering team that is growing. We are building an agentic product suite on top of our system of record: agents that do real commissioning work inside the product, with a human in the loop where it matters. We have modern infrastructure, a decade of customer data, and a small team that already builds with agents every day. We need a senior engineer to lead the design and implementation of that suite and the AI platform underneath it. You will set the direction for how agents get built, evaluated, and shipped here, and you will build them. There is also a legacy PHP and Angular application that needs modernizing, and you will lead that too. This is a hands-on staff role with a lot of autonomy. You decide how the work gets done. You write code every day, mostly through agents you direct.

Requirements

Ownership: You take problems end to end without waiting to be asked. You own what you ship all the way to production and you are accountable for it there.
Curiosity about code: You want to understand how the whole system works, including the parts you did not write, and you read unfamiliar code well.
Forward-looking engineering: You already work agent-first with tools like Claude Code: handing off whole features, running several agents in parallel, building the harnesses around them. You expect this to keep changing every few months and you keep up. Using ChatGPT for lookups or Copilot for autocomplete does not meet this bar. Informed skepticism about where these tools fail is welcome.
Technical fundamentals: You can reason about a distributed system, trace a request through it, and defend the trade-offs in something you designed.
Language and framework background are secondary.

Responsibilities

Design and build the agentic product suite, from prototype to production.
Build the AI platform it runs on: evaluation, guardrails, context management, and agent harnesses.
Set the standards for how AI features get designed, tested, and rolled out, and bring the team along.
Modernize the legacy application layer.
Evaluate new models and tooling as they ship and adopt what is better. We stay model-independent.