- Design, develop, and deploy scalable AI and Generative AI solutions.
- Build LLM-powered applications, intelligent assistants, copilots, AI agents, and automated workflows.
- Design and implement Retrieval-Augmented Generation (RAG) architectures.
- Implement semantic search, embeddings, knowledge retrieval, and vector database solutions.
- Integrate Large Language Models through Azure OpenAI, OpenAI APIs, or equivalent AI platforms.
- Develop prompts, tools, function-calling workflows, and agent orchestration mechanisms.
- Evaluate and select AI models, frameworks, and architectures according to each use case.
- Define evaluation criteria and monitor the accuracy, quality, latency, security, and cost of AI solutions.
- Integrate AI capabilities into existing software products and enterprise applications.
- Provide technical leadership and define development standards and best practices for AI initiatives.