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Job Title:Agile AI/ML Infrastructure SpecialistJob Description:We're seeking an experienced DevOps/Large Language Model (LLM) engineer to design, deploy, and maintain the infrastructure supporting Large Language Model platforms.This role blends DevOps best practices with AI/ML expertise, focusing on building and scaling agentic AI systems that integrate directly with LLMs.You'll drive development of intelligent, autonomous agents while ensuring reliability, scalability, and performance across training, fine-tuning, and deployment pipelines.A comprehensive understanding of ML and AI system architecture is required.5+ years of experience building and deploying ML or Generative AI (GenAI) systems in production, with strong architectural and systems-level ownership are necessary.Strong agility and ability to deliver in fast-moving product environments are also expected.Responsibilities:Own strategy and execution of agentic AI systems using LLMs and autonomous decision-making components.Build prototypes and scale them into Minimum Viable Products (MVPs) demonstrating real-world AI viability.Collaborate with engineering and product teams to embed LLM agents into user-facing features.Design and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for LLM training and deployment workflows.Provide technical leadership on DevOps, security, and deployment strategies for AI/ML models.Requirements:English fluency is a MUST for this role; only candidates with level C1 or C2 will be considered.End-to-end AI/ML delivery: data preparation, training, evaluation, deployment, monitoring.Cloud expertise (AWS, GCP, or Azure) with CI/CD pipelines, multi-tenant deployments, and infrastructure automation.Experience with Databricks and familiarity with Langchain / GenAI toolkits.

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