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Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt EngineeringDevelopment of Generative AI applicationsProduction deployment of AI services (APIs, CI/CD, observability) Experience in fine-tuning (LoRA/PEFT) or specialization in contextual applications.
Bachelor's degree in fields such as Computer Science, Data Science, Statistics, Mathematics, or Engineering.
Strong foundation in software engineering.
Python, SQL, Git, and CI/CD
Azure AI (OpenAI, AI Foundry, AI Search)AWS BedrockGCP Vertex AIDatabricks
Semantic KernelLangChainLangGraphFastAPI or Flask
Azure AI SearchChromaDBVertex AIPineconeNeo4j
ChunkingIndexingRetrievalGrounding
PyTorch or TensorFlow
OpenTelemetryOpenLLMetryArize PhoenixLangfuseLangsmithRAGASDeepEval
DockerKubernetes
Develop and implement AI solutions using advanced techniques and methodologies.Collaborate with cross-functional teams to design and deploy scalable AI applications.Monitor and optimize the performance of AI models in production environments.Engage in continuous learning and application of emerging AI technologies.
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