Prototype Engineer

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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.

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

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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