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# AI Engineer

- **Company:** Corporate Brokers, LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, General-Purpose Computing on Graphics Processing Units, Graph Database, Machine Learning, Workflow Management Systems, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Information Technology, Variational Autoencoders, Stable Diffusion, Virtual Agents
- **Published:** July 19, 2026
- **Apply:** https://public-rest40.bullhornstaffing.com/rest-services/BJ529/query/JobBoardPost?where=id=19177&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

We want hands-on AI Engineers and Scientists who possess an in-depth, systems-level understanding of advanced AI methods. Candidates must have deep technical expertise across one or more of the following core frontier domains:

 * Graph Data Science & GNNs: Expertise in Graph Neural Networks (GNNs), graph data science, knowledge graphs, ontology, semantics, and graph-based reasoning or representation learning.
 * Agentic AI: Demonstrated experience in agentic system design, autonomous workflow orchestration, agent-to-agent communication frameworks, and multi-agent architectures.
 * NLP & LLM Infrastructure: Deep knowledge of large language model architecture, custom fine-tuning, quantization, model evaluation, and multi-modal or retrieval-augmented generation (RAG) pipelines.
 * Machine Learning & Deep Learning: Hands-on experience with ML/DL model development and deployment at scale, including GPU computing, cluster infrastructure, and hardware optimization.
 * Generative Systems: Advanced familiarity with GANs, VAEs, and diffusion-based generative architectures.

Education & Experience

 * MS or PhD in Computer Science, Artificial Intelligence, Data Science, or a highly quantitative field is strongly preferred.
 * Production Experience: A proven track record of building, optimizing, and shipping production-grade AI systems at scale (not just localized scripts or theoretical models).
 * Systems-Level Depth: In-depth knowledge of underlying systems, algorithms, and frameworks-candidates must understand how the models function under the hood.
#LI-JD1
#LI-Remote



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