AI Engineer
Core
Building and scaling high-impact AI automation use cases for complex construction projects by processing unstructured data (PDFs, drawings, 3D models) to automate workflows and improve decision-making.
Role type
Applied AI Engineer (GenAI/LLM focus)
Builds
Productionized AI-driven workflows and automation use cases for enterprise construction clients
Domain
Construction technology / Applied Generative AI
Deliverable
production ML models
Required skills
Prompt engineering, LLM evaluation and scoring, error analysis, pipeline optimization, hybrid search (BM25), 3D model metadata mapping, software engineering, machine learning
Preferred skills
Experience in 0 to 1 product phase, full ownership of customer problem solving, passion for GenAI transformative power
Technologies
Typescript, Python, Supabase, Postgres, Weaviate, AWS S3, Fastify, Railway, Azure, OpenAI, Gemini, Cohere, Langfuse, Datadog
Responsibilities
Manage experimentation pipelines and perform error analysis, oversee evaluations and golden data set creation, continuously improve ML and data pipelines, optimize evaluation and scoring systems for performance monitoring
Seniority
Mid-level, hands-on IC
