AI Engineer (GenAI Platform) - Mid Level (Brazil Based only)

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🇧🇷 Brasil – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

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Experian

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1996

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Experian libera o poder dos dados para criar oportunidades para consumidores, empresas e a sociedade.

Descrição

• Design and develop Generative AI services and multi-agent systems • Implement RAG, tool-calling, and agent orchestration solutions • Integrate and operate models through LLM gateways • Develop LLMOps practices for monitoring, observability, and governance • Implement consumption measurement, chargeback, and inference-cost optimization mechanisms • Build and maintain data pipelines supporting billing and metering processes • Apply MLOps, CI/CD, automated testing, and model lifecycle management practices • Handle incidents, monitoring, reliability, and continuous improvement of services • Collaborate with global Product, Engineering, Platform, Security, and Data teams

🎯 Requisitos

• Brazil-based only • Experience in Software Engineering and Applied AI • Practical experience in GenAI projects in production environments • Advanced English • Knowledge of GenAI and Agentic AI • Knowledge of multi-agent orchestration, tool calling, multi-step reasoning, RAG, and prompt engineering • Experience with LangChain, LangGraph, or equivalent frameworks • Knowledge of LLMOps and LLM platforms • Experience with LLM gateways such as LiteLLM or similar • Model integration through APIs • Knowledge of observability and evaluation of LLM-based applications • Knowledge of latency and performance optimization • Knowledge of vector databases and retrieval mechanisms • Advanced Python • AWS knowledge preferred • Good architecture, observability, and reproducibility practices • Knowledge of MLOps, versioning and experiment tracking, CI/CD, automated testing, deployment, and rollback of AI services • Knowledge of batch and streaming data pipelines, Spark, Lakehouse architectures, and data orchestration • Kafka and Event Streaming, Terraform and Infrastructure as Code, Databricks (Delta Lake and DLT), internal developer platforms, and experience in global and distributed environments are differentiators

🏖️ Benefícios

• Equal opportunity and affirmative action employer • Inclusive recruitment initiatives • Professional development initiatives • Affinity groups supporting underrepresented groups: ExperianPride, Ubuntu, Women in Experian, Aspire, and Connecting Generations