Senior Data Engineer

Augrade is an AI Native platform Accelerating construction workflows to help Owners, Real estate developers & GCs, predict project risk, prevent delays & protect their margins across every stage of the project, from concept to completion & beyond.

We’ve been around for 3 yrs but started active projects in the last 11 months, have since then completed 120+ projects worth $5.8B across 5 countries with a small highly technical team of 32 people. We have 2 main offices in SF & Blr with 2 more opening soon in Dubai & Saudi Arabia.

If you're interested in joining an early stage AI startup building foundational models, geometric and physics engines from scratch to transform how the world designs and builds infrastructure, with real autonomy and the resources to solve hard problems, apply or reach out to us today.

We're hiring a Senior Data Engineer to own the quality control layer above our data annotation team. You'll sit at the intersection of data operations and AI model training — ensuring the accuracy and integrity of the structured data that powers Augrade's AI systems. This is a hands-on leadership role with direct impact on model performance.

• Own the file submission and QC process for annotated construction data (CAD, BIM, MEP)

• Review and validate outputs from junior annotators; enforce quality standards

• Perform AutoCAD annotation and data labeling as needed (hands-on, not just oversight)

• Collaborate with the CV/ML engineering team to close the gap between AI outputs (currently 80–90% accuracy) and production-ready data

• Manage and mentor a team of data annotators; drive process improvements

• Coordinate with engineering leads before any major workflow or tooling decisions

Required

• 7-12 years of experience in data engineering, BIM/CAD data operations, or a related field

• Experience with Point Cloud Annotation and 3D data labeling

• Strong AutoCAD proficiency — this is the primary technical requirement

• MEP (mechanical, electrical, plumbing) knowledge

• BIM and construction industry background

• Some leadership or project management experience — you've owned a process or team before

Preferred

• Experience at companies like AECOM, Bentley Systems, Jacobs, or WSP

• Familiarity with AI/ML data pipelines and human-in-the-loop validation workflows

• Comfort working in a fast-paced, early-stage environment