- Design and build Generative AI applications using commercial and open-source large language models.
- Develop proof-of-concepts and evolve them into production-ready software.
- Architect Retrieval-Augmented Generation solutions using vector databases and enterprise data sources.
- Build intelligent agents and AI workflows for reasoning, automation, and decision support.
- Develop REST APIs and backend services supporting AI applications.
- Deploy scalable AI solutions in Microsoft Azure using cloud-native architectures and Azure AI services.
- Build CI/CD pipelines supporting AI deployment and model iteration.
- Integrate AI capabilities into enterprise applications and mission systems.
- Evaluate emerging AI technologies and prototype new capabilities.
- Optimize model performance, latency, scalability, security, and cost; implement responsible AI practices, guardrails, and model evaluation.
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