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2 Months AgoSaved
In-Office or Remote
Monroe, NJ, USA
Senior level
Senior level
Information Technology • Software • Consulting • Automation
Build and deploy production-grade LLM applications, AI agents, models, and scalable RAG pipelines for investment and business workflows. Architect secure MCP integrations with enterprise systems, establish MLOps and LLMOps practices, optimize model performance and latency, and develop evaluation, monitoring, governance, and rollback processes. Collaborate with data engineering and platform teams to provide secure, governed access to organizational data.
Top Skills: Amazon BedrockAmazon CloudwatchAmazon S3Amazon SagemakerAWSAws LambdaContainersCrewaiDatabricksDeepevalDockerDvcEvent StreamsGenerative AiLangchainLlamaindexLlmopsLlmsLoraMachine LearningMlflowMlopsModel Context Protocol (Mcp)Prompt EngineeringPythonQloraRagRagasRest ApisRlhfSagemaker JumpstartSagemaker PipelinesSnowflakeVector DatabasesWeights & Biases
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