Forward Deployed Engineer

New
H
HigharcHomebuilding Construction
Remote (New York City, NY), Remote (Austin, TX), Remote (Durham, NC), Remote (San Francisco, CA)Full-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
SQLETLData modelingPrototypingLLM

Requirements

  • 5+ years of engineering experience, including significant time in customer-facing or deployed settings.
  • Strong hands-on data fluency including SQL and scripting against APIs.
  • Comfort working in notebooks and independently interrogating data sets.
  • Experience prototyping to validate ideas quickly using tools like Cursor, Replit, or V0.dev.
  • Track record building structured data models, taxonomies, or classification schemes for production systems.
  • Strong judgment regarding data quality and the cost of accuracy.
  • Excellent written and verbal communication skills for executive-level interaction.
  • Willingness to travel to client sites and company events up to 30% of the time.
  • Background in residential construction, homebuilding, architecture, or AEC technology is a plus.
  • Familiarity with agent-based or natural-language search, RAG systems, or LLM-powered analytics.
  • Exposure to geometric or spatial data such as CAD/BIM or computer vision.

Responsibilities

  • Embed with HQ, regional, and division teams to run technical discovery, profile plan assets, assess data quality, and reverse-engineer drawing sets.
  • Build and ship the searchable plan library, analytics dashboard, and agent-enabled natural-language search.
  • Tune and extend Autotranslate AI capabilities to identify, categorize, and translate floorplans into structured data.
  • Write ETL pipelines, build against internal APIs, and ship working capability directly to users.
  • Develop geometric similarity scoring and classification models for plan identification.
  • Meet delivery milestones and flag tradeoffs between quality and schedule pressure.
  • Instrument and quantify results regarding redundancy, dimensional spread, and consolidation opportunities.
  • Partner with product, technical, and client strategy teams to present progress and tradeoffs to executives.
  • Turn one-off scripts and data patterns into reusable tooling for future engagements.
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