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Software Engineer — Workflow Automation & ML (Early Career)
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Rock Grid Steel
Remote
$100,000 Salary, Full-Time
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Job Description
Software Engineer — Workflow Automation & ML (Early Career) Rock Grid Steel Vienna, VA Job Details Full-time $95,000 - $105,000 a year 4 days ago Qualifications AI models Application Integration Google Workspace Software engineering Google Docs Software coding Machine intelligence Integration with Third-Party Services (system development) Developer tools Full Job Description Software Engineer — Automation & ML (Early Career) Rock Grid Steel • [On-site / Hybrid — Washington, DC metro] • Full-time We're a construction company building our own software — internal tooling that automates the work most firms still do by hand. The bet is a vertically integrated software-and-construction firm where the software is the advantage: every workflow we automate compounds inside a real business that uses it daily. This is an early, founder-led hire. You'll build the automation and ML at the center of it, work directly with the founder, and own what you ship. What you'll do Build workflows that automate estimating and project-management tasks. Develop agents and ML that read, parse, and make sense of documents and drawings. Connect our software to the tools we already use, and make the output trustworthy and traceable. Work directly with the people doing the work, and automate the parts that actually slow them down. What we're looking for Required 1-2 years of software engineering experience (strong internships count). Solid software engineering skills, and comfort with APIs and third-party integrations. Fluency with modern AI-assisted development tools (e.g. Claude Code, Codex) — and the judgment to verify what they produce. A real bias toward correctness. You treat a wrong number as a bug to find, not an acceptable margin of error. The builder's instinct You make things for the love of it — the kind of person who loses track of time on a hard problem and surfaces with something real. You probably have side projects, or things you built just to see if you could. Preferred Hands-on machine learning experience — document classification, information extraction, retrieval, computer vision, or LLM-based agents. Experience with document-processing pipelines, automation, or workflow orchestration. Familiarity with the Google Workspace APIs (Drive, Docs, Sheets). Exposure to construction, estimating, CAD/BIM, or other messy, operations-heavy domains. Why this role We are not a typical tech company, and we won't pretend otherwise. What we offer instead is rare: real ownership, the freedom to build the whole thing rather than a sliver of it, and the chance to see your code run the worlds first vertically integrated construction firm. If you want scope, autonomy, and a problem with no obvious playbook, with the benefit of massive upside.