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Intern, Construction AI Agent Research
Autodesk
Design and make software for architecture, engineering, construction, and entertainment industries.
Develop and prototype multimodal AI agents for Construction and AEC data analysis using LLMs, VLMs, and knowledge graphs.
22d ago
Entry-level
Internship
Boston, MA
Hybrid
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
ai agent prototyping
experiment conduct
data analysis
construction project prototyping
Multimodal AI Agent Development: Design and prototype AI agents using LLMs, vision-language models, and multi-agent frameworks. Focus on integrating agent protocols to enable robust interactions between agents and external tools (e.g., APIs, databases, and resources).
Conduct Experiments and Present Findings: Perform hands-on research on AI agent architectures for construction applications and present results to the team through reports, demos, or potential contributions to academic papers.
Research and Implement Data Analysis Techniques: Explore graph querying methods and multimodal data to interpret and combine textual, visual, and sensor data from construction sources. Address key challenges, including handling domain-specific nuances in AEC data.
Prototype AI Solutions in Construction Project: Build a functional AI agent prototype, including demos that showcase capabilities in querying, data analysis, and inter-agent interactions in a real-world AEC project.
What you bring
problem solving
agent protocols
apis
python
ai frameworks
llms
Excellent analytical, problem-solving, and communication skills, with a passion for innovative technology in construction.
Solid grasp of agent protocols (e.g., Model Context Protocol, Agent2Agent Protocol) and experience with external tool integrations (e.g., APIs).
Strong proficiency in Python and experience with AI frameworks such as LangChain, PyTorch, or similar for building agents and models.
Hands-on experience with LLMs, vision-language models (e.g., GPT-4V, Claude, Gemini), and graph tools (e.g., Neo4j, GraphQL, or similar).
Pursuing a Master's or PhD in Computer Science, Machine Learning/AI, Robotics, or a related field, with familiarity in AEC domains.
Understanding of multimodal data processing, including techniques for combining textual, visual, and sensor inputs.
Benefits
$72,800 and $118,500 (Masters/MBA students)
$47,840 and $95,680 (undergraduate students)
$118,560 and $162,240 (PhD students)
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
potential background checks may be performed in accordance with applicable law.
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