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.
Qualifications
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.
CORE EXPERTISE
- 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.
Preferred Qualities
- 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.
Apply Now
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!