Salary
💰 $72,800 - $162,240 per year
Tech Stack
GraphQLNeo4jPythonPyTorch
About the role
- Design and prototype multimodal AI agents using LLMs, vision-language models, and multi-agent frameworks.
- Integrate agent protocols to enable interactions between agents and external tools such as APIs and databases.
- Build a functional AI agent prototype and demos showcasing querying, data analysis, and inter-agent interactions in AEC projects.
- Research and implement graph querying methods and multimodal data analysis for textual, visual, and sensor construction data.
- Conduct experiments, present results via reports and demos, and contribute to potential academic papers.
Requirements
- Pursuing a Master's or PhD in Computer Science, Machine Learning/AI, Robotics, or a related field.
- Familiarity in AEC domains.
- Strong proficiency in Python.
- Experience with AI frameworks such as LangChain, PyTorch, or similar for building agents and models.
- Hands-on experience with LLMs and vision-language models (e.g., GPT-4V, Claude, Gemini).
- Experience with graph tools (e.g., Neo4j, GraphQL, or similar).
- Understanding of multimodal data processing, including combining textual, visual, and sensor inputs.
- Solid grasp of agent protocols (e.g., Model Context Protocol, Agent2Agent Protocol).
- Experience with external tool integrations (e.g., APIs).
- Excellent analytical, problem-solving, and communication skills.
- Passion for innovative technology in construction.