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Azure OpenAIGitLinuxGCPSpring BootFirebaseAzureevalstool use / function callingAWSstructured outputsPythonLLMs & agents OpenAIDockerSQLagentic workflowsprompt engineeringtuning for latency/cost (token budgeting, caching, concurrency control)REST & gRPC APIsRAG over Azure AI Search + vector DBs

Description

Mahmoud Mohsen is an AI engineer with 4 years of experience focused on building and shipping production-grade LLM-driven products. He specializes in creating LLM-driven pipelines for structured outputs, RAG systems for grounded answers, agentic workflows with tool use, and automated content/assessment generation. His expertise includes orchestration, evaluation, failure handling, and latency/cost tuning for concurrent users, complemented by a solid background in backend engineering (Python, REST/gRPC APIs, cloud). He is seeking Software Engineer or AI/LLM Engineering roles, specifically in agents, RAG, and LLM-backed product infrastructure.