Ai Infrastructure Architect

Há 10 horas


Fortaleza, Brasil Bebeedevopsl Tempo inteiro

Transformative DevOps LeaderWe are seeking a visionary Dev/LLMOps Engineer to design, deploy and maintain the infrastructure supporting Large Language Model (LLM) platforms.You will drive development of intelligent, autonomous agents while ensuring reliability, scalability and performance across training, fine-tuning and deployment pipelines.English fluency is a must for this role.Only candidates with level C1 or C2 will be considered.A1 BeginnerA2 ElementaryB1 IntermediateB2 Upper-IntermediateC1 AdvancedC2 ProficientKey Responsibilities:Develop comprehensive strategies and execute agentic AI systems using LLMs and autonomous decision-making components.Create prototypes and scale them into MVPs demonstrating real-world AI viability.Collaborate with engineering and product teams to embed LLM agents into user-facing features.Design and manage CI/CD pipelines for LLM training and deployment workflows.Provide technical leadership on DevOps, security and deployment strategies for AI/ML models.Requirements:5+ years building and deploying ML or GenAI systems in production, with strong architectural and systems-level ownership.2+ years of proven experience with LLM integration, LLM-based agents, or autonomous reasoning systems.End-to-end AI/ML delivery: data prep, 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.Strong agility and ability to deliver in fast-moving product environments.Nice To Have:Advanced degree (MS/Ph.D.) in ML, Computer Science or related field.Deep expertise in DevOps/MLOps practices and scaling secure enterprise-grade AI workflows.Broader data engineering knowledge, especially in Databricks.Background in aviation industry.


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