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As an Implementation Engineer, you'll develop Python-based backend solutions, integrate ML pipelines, and ensure system reliability while collaborating closely with various teams to implement customer-specific workflows and solutions.

The Senior Implementation Engineer builds and deploys Python-based backend solutions, focusing on customer-specific integrations and AI/ML workflows, while ensuring deployment reliability and collaborating cross-functionally.

The Senior AI Solutions Engineer will manage customer onboarding, configure AI tools, write Python code, develop streaming pipelines, and create custom demos to optimize LogIQ's performance for enterprise clients.

The role involves managing customer onboarding, building demos, and configuring AI solutions as part of the deployment process. The engineer will develop streaming log ingestion, enhance the RCA agent, and contribute to tool and log parser development, ensuring successful AI operationalization for enterprise customers.

Lead architecture and development of scalable backend and full-stack features for AI-native products, build agentic AI workflows and orchestration, design distributed systems and APIs, ensure security and performance, troubleshoot production, and mentor engineers.