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Remote role and metro candidate pool increase competition, but niche ML/robotics requirements moderate applicant density.
Domain-specific expertise in agentic AI, robotics, and construction digital twins limits cross-industry transferability.
Portfolio requirement plus senior, specialized ML/robotics and C++/LLM skills make screening highly selective.
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Design, develop, and deploy autonomous AI agents to automate virtual pre-construction, building plan interpretation, and quantity estimation workflows.
Integrate and optimize AI technologies including LLM orchestration frameworks (LangChain, LangGraph, Claude Code, AutoGen) and robotics/computer vision techniques for scalable AI-driven solutions.
Collaborate with cross-functional teams to enhance Human-in-the-Loop workflows and maintain high-performance, reliable AI systems with deterministic outputs.
Proven experience as an AI Engineer or related role with demonstrated portfolio.
Strong programming skills in C++ or similar systems languages (Rust, C#), plus Python and machine learning frameworks.
Experience developing autonomous AI workflows using LLM orchestration tools such as LangChain or AutoGen.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on expertise in building AI-powered, autonomous or agentic workflows for complex, multi-step automation in construction or estimation domains.
Proficient in integrating advanced AI methods like Large Language Models, prompt engineering, robotics, and computer vision to interpret 2D/3D spatial data.
Experienced at delivering scalable, production-ready AI solutions with strong systems programming and cloud API integration skills in a remote, cross-functional environment.