Higharc
Prototype Engineer
Vaga remota de Special Projects com fit claro de localização do candidato.
Publicada30 de mar. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeNível aberto
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Prototype Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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