Lead Ai Systems Developer

Há 7 horas


Salvador, Brasil Bebeeagentic Tempo inteiro

Agentic AI Systems Engineer We are seeking an experienced DevOps/MLOps 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.Key Responsibilities: Owning strategy and execution of agentic AI systems using LLMs and autonomous decision-making components Building prototypes and scaling them into MVPs demonstrating real-world AI viability Collaborating with engineering and product teams to embed LLM agents into user-facing features Designing and managing CI/CD pipelines for LLM training and deployment workflows Providing technical leadership on DevOps, security, and deployment strategies for AI/ML models Requirements: 5+ years of experience in 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/PhD) in ML, Computer Science, or related field Deep expertise in DevOps/MLOps practices and scaling secure, enterprise-grade AI workflows Broad data engineering knowledge, especially in Databricks Background in aviation industry


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