Resumen del rol

Prototype Engineer

Requisitos y responsabilidades

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What You'll Do

  • Design and develop tools that expose AI/ML capabilities to autonomous agents, building the orchestration layer that solves complex domain use-cases in production homebuilding.
  • Take proven research outputs and integrate them into the Higharc product as packages and components, following best practices established in a large, complex codebase.
  • Work across the Python ML/AI service layer and the TypeScript/React product, wiring new capabilities end-to-end via API.
  • Build frameworks for rapid evaluation, iteration, and promotion of prototypes.
  • Operate in lock-step with the broader engineering organization and participate in customer-facing labs sessions, using direct customer signal to validate prototypes and inform iteration priorities.
  • Serve as the primary translation layer between the research team and the product engineering team.
  • Convert experimental notebooks, fine-tuned models, and RAG pipelines into maintainable, testable, deployable code.
  • Develop working knowledge of the homebuilding domain sufficient to make independent judgment calls about which capabilities matter, which edge-cases are load-bearing, and where AI falls short in the built environment.

About You

  • 4+ years of professional Software Engineering experience, with 2+ years integrating ML/AI capabilities into production products
  • Shipped AI-powered features to real users, not just model training
  • Experience working in or adjacent to a research team
  • Professional proficiency with Python, Typescript/React, API design, LLM tooling, evaluation design, and AI calibration
  • Familiarity with LLM APIs (OpenAI, Anthropic, or open-source), vector databases, RAG architectures, Python ML ecosystem (PyTorch, HuggingFace), modern frontend frameworks (React/Next.js), CI/CD and testing frameworks

About You

  • Experience in construction, AEC, or other physical-world domains with messy, under-structured data
  • Experience with agentic frameworks (LangChain, CrewAI, or custom harnesses) strongly preferred
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