Job Description
**Overview**
We are looking for an experienced **LLMOps** **Engineer** to design, implement, and maintain production-grade large-language-model (LLM) pipelines, deployment architectures, and monitoring systems across enterprise environments. The Senior LLMOps Engineer will play a critical role in operationalizing generative AI capabilities, ensuring that LLM-based applications are scalable, secure, reliable, and compliant with emerging AI risk and governance frameworks. This role spans the spectrum of model deployment, orchestration, evaluation, and optimization.
**Contributions**
+ Architect and maintain scalable LLM and RAG pipelines, including model hosting, inference optimization, retrieval layers, and context management frameworks.
+ Lead the design and implementation of secure GenAI infrastructure across cloud environments, ensuring reliability, performance, and cost efficiency.
+ Build and manage automated evaluation systems that a...
We are looking for an experienced **LLMOps** **Engineer** to design, implement, and maintain production-grade large-language-model (LLM) pipelines, deployment architectures, and monitoring systems across enterprise environments. The Senior LLMOps Engineer will play a critical role in operationalizing generative AI capabilities, ensuring that LLM-based applications are scalable, secure, reliable, and compliant with emerging AI risk and governance frameworks. This role spans the spectrum of model deployment, orchestration, evaluation, and optimization.
**Contributions**
+ Architect and maintain scalable LLM and RAG pipelines, including model hosting, inference optimization, retrieval layers, and context management frameworks.
+ Lead the design and implementation of secure GenAI infrastructure across cloud environments, ensuring reliability, performance, and cost efficiency.
+ Build and manage automated evaluation systems that a...
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