Middle AI Engineer (LLMs & Spatial AI)

About this role

The Purpose


Higharc is building an AI platform that transforms residential construction by automating the design, permitting, and documentation workflows that currently consume months of manual work and create bottlenecks across the homebuilding industry. This Research Engineer role exists to develop foundational spatial AI capabilities—combining reinforcement learning, computer vision, and domain-specific language models—that enable the platform to understand architectural constraints, generate compliant designs, and ground AI reasoning in real building code and construction knowledge, directly reducing design cycles and accelerating home delivery.


What You'll Do

• Design, build, and operate AI-powered features and systems aligned with LLMs, RAG & Spatial AI, delivering intelligent, production-grade product experiences.
• Develop and integrate AI capabilities such as LLMs, agents, embeddings, and inference pipelines into backend services and applications.
• Architect AI workflows including prompt orchestration, tool calling, retrieval augmentation (RAG), and model routing.
• Own the end-to-end lifecycle of AI systems — from experimentation and prototyping to deployment, monitoring, and continuous improvement.
• Build scalable APIs and services that expose AI functionality reliably and securely to product surfaces.
• Collaborate closely with product, backend, and design teams to translate business problems into effective AI-driven solutions.
• Ensure AI system quality through evaluation, testing, observability, and performance monitoring.
• Address AI-specific concerns including latency, cost optimization, reliability, hallucination mitigation, and safety constraints.
• Stay current with emerging AI models, frameworks, and best practices, applying them pragmatically to real-world systems.
• Design and integrate AI capabilities aligned with LLMs, RAG & Spatial AI into product features and backend systems.
• Build and maintain AI workflows such as p...