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integration, deployment, and engineering best practices.\nWork with tools and technologies such as Docker, Kubernetes, Git, CI/CD pipelines, and AWS services.\nTroubleshoot, optimize, and improve AI-based solutions as they evolve.\nRequirements\n3+ years of experience in Software Engineering, Cloud Engineering, Machine Learning Engineering, AI Engineering, or similar roles.\nAt least 2 years of hands-on experience working with Generative AI, LLMs, AI Agents, or related AI solutions.\nStrong Python development experience.\nExperience building or integrating APIs.\nPractical experience with AWS cloud environments.\nExperience or strong familiarity with AI Agents and LLM orchestration.\nFamiliarity with tools such as OpenAI, Claude, Llama, AWS Bedrock, LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.\nExperience with RAG architectures and/or vector databases is highly valuable.\nKnowledge of CI/CD practices.\nExperience with Docker and Kubernetes.\nFamiliarity with Git and 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