Remote Forward-Deployed MEP Design Engineer

AI2IO; United States; Remote; USD 110,000 - 190,000; Full time

Benefits offered by this job

Medical plans

401k with company match

Paid time off

Parental leave

Tuition reimbursement

Job summary

AI2IO is seeking a Forward Deployed Engineer – MEP Design, embedded with DLB Associates, to design, build, test, and deploy AI-enabled tools for MEP projects. You will work remotely from anywhere in the United States and turn department priorities into usable AI workflows and processes that engineers use on real projects.

The role emphasizes hands-on execution, with a focus on integrating off-the-shelf platforms (Claude, Copilot, CORE AI) and ensuring practical, defensible solutions that improve

Qualifications

• Minimum of 5 years of experience in MEP consulting engineering or design.
• At least 2 years of hands-on experience building automation, scripting, or AI-enabled tools.
• Ability to translate between design and technical perspectives.
• Demonstrated commitment to QA/QC processes and deliverables.
• Experience with integrating AI tools into engineering workflows.

Responsibilities

• Build and deploy AI-enabled tools and workflows for MEP design teams.
• Evaluate off-the-shelf tools and configure them to fit existing workflows.
• Develop scripts and automations using Python, Dynamo, and API integrations.
• Create reusable patterns, training materials, and adoption signals.
• Ensure tools meet security, governance, and SDLC requirements.

Skills

Python scripting

AI tooling

Revit knowledge

QA/QC

Communication

Education

Bachelor's degree in Mechanical, Electrical, or Architectural Engineering

EIT or PE licensure (plus)

Tools

Revit API

Dynamo

pyRevit

Power Automate

Claude / Copilot tools

Job description

AI2IO is seeking a Forward Deployed Engineer – MEP Design, embedded with DLB Associates, to design, build, test, and deploy AI-enabled tools for MEP projects. You will work remotely from anywhere in the United States and turn department priorities into usable AI workflows and processes that engineers use on real projects.

The role emphasizes hands-on execution, with a focus on integrating off-the-shelf platforms (Claude, Copilot, CORE AI) and ensuring practical, defensible solutions that improve