AI Engineer

Loenbro•Westminster, CO

7d•Hybrid

About The Position

Loenbro is looking for a motivated AI Engineer who is actively building, experimenting, and learning in the AI space. This is an excellent opportunity for someone earlier in their career who has already gotten their hands dirty — whether through personal projects, coursework, or professional work — and is excited to bring AI tools to life in a real-world construction and operations environment. You may start by building self-contained AI tools and workflows, growing into deeper system integration over time.

Requirements

Bachelor’s degree in computer science, Information Technology, Data Science, or related field
2+ years of exposure to data-related work — whether through analytics, business intelligence, data entry systems, reporting, or supporting data-driven teams
1+ year of active, hands-on experience working with AI tools, platforms, or APIs in a professional or personal capacity
Working experience with Claude (Anthropic), ChatGPT, Microsoft Copilot, and/or Google Gemini
A portfolio of AI projects is strongly preferred — show us what you’ve built: a workflow, an app, a chatbot, a prompt system, anything that demonstrates initiative and results

Nice To Haves

Solid prompt engineering skills — you understand how to structure prompts, iterate, and get reliable outputs
Experience building AI-powered tools or lightweight applications using LLM APIs (Claude API, OpenAI API, or similar)
Exposure to workflow automation platforms such as Make, n8n, Zapier, or Microsoft Power Automate
Familiarity with no-code/low-code AI tools and the judgment to know when to use them vs. write custom code

Responsibilities

Design, build, and deploy lightweight AI-powered tools and applications to improve operational efficiency across construction and business functions
Partner with field teams, operations, and business stakeholders to identify manual, repetitive, or high-friction processes and translate them into AI-driven solutions
Develop and iterate on prompt engineering strategies to ensure consistent, accurate, and useful outputs from large language models (LLMs)
Prototype and test AI workflows using tools such as LLM APIs, automation platforms (e.g., Zapier, Make, Power Automate), and custom scripts
Build self-contained AI solutions (e.g., chatbots, internal assistants, workflow automations) that deliver immediate value without heavy system dependencies
Integrate AI tools with internal and third-party systems using APIs to enable scalable and connected workflows
Create dashboards, interfaces, or simple applications that allow non-technical users to easily interact with AI-driven solutions
Monitor, evaluate, and improve AI tool performance, including output accuracy, reliability, and user adoption
Implement guardrails and validation processes to mitigate hallucinations, ensure data integrity, and support responsible AI usage
Document workflows, tools, and processes to support scalability, maintainability, and team adoption
Stay current on emerging AI tools, platforms, and best practices; proactively recommend new technologies or approaches to the business
Support the evolution from standalone AI tools toward more integrated systems, contributing to long-term AI architecture and strategy
Collaborate cross-functionally with IT, data, and business teams to align AI initiatives with broader technology and operational goals
Demo solutions, gather feedback, and rapidly iterate to improve usability and business impact