Senior Llm Solutions Engineer Gcp
enableIT
Design scalable LLM solutions on Google Cloud using Vertex AI, BigQuery, and strong software engineering practices for production delivery.This Senior LLM Solutions Engineer role focuses on enterprise AI applications across architecture, integration, deployment, and support. You will use Python, Google Cloud services, RESTful APIs, and agentic AI frameworks. You will also apply security, privacy, governance, and responsible AI controls.Key Responsibilities:
Design cloud-based AI architectures using Vertex AI and BigQueryDevelop enterprise services and RESTful APIs in PythonIntegrate MCP tools with systems, APIs, and data sourcesImplement monitoring, tracing, and observability with LangfuseImprove reliability, scalability, performance, and response qualityRequirements:
Hands-on Google Cloud experience with Vertex AI and BigQueryExperience building, deploying, and supporting LLM applicationsUnderstanding of MCP and enterprise tool integrationExperience with FastAPI, Flask, automated testing, Git, and CI/CDUnderstanding of security, privacy, responsible AI, and governanceUse cloud architecture, Python APIs, MCP integration, and observability to deliver governed, scalable LLM solutions.
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Design cloud-based AI architectures using Vertex AI and BigQueryDevelop enterprise services and RESTful APIs in PythonIntegrate MCP tools with systems, APIs, and data sourcesImplement monitoring, tracing, and observability with LangfuseImprove reliability, scalability, performance, and response qualityRequirements:
Hands-on Google Cloud experience with Vertex AI and BigQueryExperience building, deploying, and supporting LLM applicationsUnderstanding of MCP and enterprise tool integrationExperience with FastAPI, Flask, automated testing, Git, and CI/CDUnderstanding of security, privacy, responsible AI, and governanceUse cloud architecture, Python APIs, MCP integration, and observability to deliver governed, scalable LLM solutions.
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