What are the responsibilities and job description for the Generative AI Engineer / Scientist (US) position at Genia?
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Generative AI Engineer / Scientist (US)
Los Angeles, CA, USA
Responsibilities
We are looking for a Generative AI Engineer / Scientist to help build next-generation AI systems that combine large language models (LLMs), agentic AI, graph neural networks (GNNs), and image generation algorithms. This role is an opportunity to work on real-world applications at the intersection of architecture, engineering, and AI, while shaping the future of generative design.
EDUCATION & BACKGROUND
Submit your resume and a brief note on your background in residential construction sales to hr [at] genia.design.
We look forward to working with you soon!
Ready to Augment Your Structural Design
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US Headquarter
145 S. Fairfax Avenue,
Los Angeles, CA 90036
Singapore Office
160 Robinson Road, SBF Center,
Singapore 068914
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Generative AI Engineer / Scientist (US)
Los Angeles, CA, USA
Responsibilities
We are looking for a Generative AI Engineer / Scientist to help build next-generation AI systems that combine large language models (LLMs), agentic AI, graph neural networks (GNNs), and image generation algorithms. This role is an opportunity to work on real-world applications at the intersection of architecture, engineering, and AI, while shaping the future of generative design.
- Design, fine-tune, and optimize large language models (LLMs) for domain-specific applications in architecture and engineering.
- Develop agentic AI systems for reasoning, tool use, and workflow automation in structural design tasks.
- Apply graph neural networks (GNNs) to structured engineering data, knowledge graphs, and design optimization problems.
- Prototype multimodal systems combining text, drawings, and structured design data.
- Collaborate with product and engineering teams to integrate generative AI into production-ready AEC workflows.
- Stay on top of the latest AI research and propose innovative solutions to push the boundaries of generative design.
EDUCATION & BACKGROUND
- Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong academic/industrial foundation in deep learning and generative AI models, geometric learning and computational geometry.
- Hands-on experience with LLMs: fine-tuning, instruction tuning, domain adaptation, or RLHF.
- Experience developing agentic systems (e.g., tool-augmented LLMs, reasoning frameworks).
- Strong knowledge of graph neural networks (GNNs) using PyTorch Geometric, DGL, or similar.
- Skilled in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Able to navigate ambiguity and adapt effectively to evolving requirements in fast-paced environments.
- Track record of publications in top AI/ML/NLP/CV conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD).
- Contributions to open-source AI projects or a demonstrable portfolio of generative AI applications.
- Experience working with multimodal or AEC-related datasets is a strong plus.
- Excited by working in a fast-growing startup environment and contributing to both research and product impact.
Submit your resume and a brief note on your background in residential construction sales to hr [at] genia.design.
We look forward to working with you soon!
Ready to Augment Your Structural Design
Design Now
How It Works
10x
Faster Detailed design
20%
Less construction materials
40%
Less human errors
200
Trusted structural engineering firms
US Headquarter
145 S. Fairfax Avenue,
Los Angeles, CA 90036
Singapore Office
160 Robinson Road, SBF Center,
Singapore 068914
Product
How It Works
How It Works
Pricing
Pricing
Product Updates
Product Updates
Resources
Customer Stories
Customer Stories
Knowledge Center
Knowledge Center
Design Methods
Design Methods
Find AI Engineer
Find AI Engineer
Structural Audit
Structural Audit
Company
About Us
About Us
Careers
Careers
News
News
Contact Us
Contact Us
© 2026 Genia Engineering, Inc. All Rights Reserved
Privacy Policy
Terms of Services