Description
Job Summary:
We are seeking professors with a master's degree and experience in AI application for our postgraduate program in Applied Artificial Intelligence.
Key Highlights:
1. Practical, applied, and market-oriented training
2. Academic depth combined with real-world AI application experience
3. Multidisciplinary faculty
We are developing a postgraduate program in **Applied Artificial Intelligence (AI-First Systems, Agents & Engineering)**, focused on **practical, applied, and market-oriented training**.
We seek **professors with a master's degree** (preferably) who combine **academic depth with real-world AI application experience**, capable of training professionals who will build, operate, and scale AI systems in enterprise environments.
We are assembling a multidisciplinary faculty. We seek master's-level professors active in at least one of the following areas:
### **Applied Artificial Intelligence and Language Models**
* LLMs, transformers, embeddings, inference
* Model evaluation, cost, latency, and trade-offs
* Real limitations and risks of AI systems
### **Prompt Engineering and Generative Systems**
* Prompt engineering as a programming layer
* Advanced techniques (few-shot, chain-of-thought, pipelines)
* Designing predictable and reusable systems
### **Context Engineering, RAG, and Knowledge Systems**
* Context engineering and behavior control
* Memory in AI systems
* Retrieval-Augmented Generation (RAG)
* Integration with data and hallucination reduction
### **Software Engineering with AI**
* AI-assisted development
* Code generation, debugging, and automated testing
* Building AI-first applications
### **AI Systems Architecture**
* AI-first architectures
* Agent-based systems, RAG, and hybrid approaches
* Scalability, observability, and production readiness
### **AI Product and Strategy**
* AI Product Management
* Problem and opportunity validation
* Building AI-first MVPs
* UX for AI-based systems
### **AI Automation and Workflows**
* Enterprise process automation
* AI-powered workflow orchestration
* API and system integration
* Operational scale and efficiency