Muro AI is looking to solve the problem of automating the most complex, manual, and costly phase of construction: preconstruction, by building AI agents that can deeply understand architectural documents and execute complex workflows
Requirements
- Deep technical ML experience
- Experience with custom fine tuned multimodal models and RAG architectures
- Hands-on experience with RLHF, DPO, SFT, or parameter-efficient fine-tuning methods
- Advanced OCR/CV experience (layout-aware models, document transformers, segmentation)
- Experience with agentic LLM systems, tool use, or multi-step reasoning harnesses
- Designed or scaled RAG systems for complex, multi-document retrieval
- Background in architectural/engineering drawings (AEC experience is a plus, not required)
Responsibilities
- Build the document understanding layer that powers everything downstream
- Create the foundational multimodal system that all downstream agents depend on
- Research and build models that understand complex construction-specific documents formats - using custom fine tuned multimodal models and RAG architectures
- Architect pipelines for OCR, image segmentation, layout analysis, entity resolution
- Push agentic AI into production
- Context engineer construction the agent harnesses for multi-step construction workflows
- Build labeled datasets with construction SMEs
Other
- 4–6+ years of experience
- Research-minded builder
- Comfortable in the messy 0→1 phase
- Curious, rigorous, and want to own hard problems end-to-end
- Communicate complex work clearly to engineers, product, and leadership
