Engenheira de Dados Sênior - Data & AI

This position is listed on behalf of a partner company, who manages all applications and next steps.

Local

São Paulo - SP

Remoto

Responsabilidades

• Develop and evolve corporate frameworks for intelligent agents and AI-powered applications.
• Build, maintain, and optimize data pipelines supporting decision engines, autonomous agents, and Generative AI solutions.
• Design feedback loops that continuously improve the quality, performance, and accuracy of AI agents.
• Develop and optimize Retrieval-Augmented Generation (RAG) architectures and contextual retrieval mechanisms.
• Structure and automate evaluation frameworks to measure the quality, accuracy, reliability, and performance of AI applications.
• Develop automated functional tests and quality assurance mechanisms for data pipelines, agents, and AI components.
• Establish standards for resilience, reliability, availability, traceability, and observability across data and intelligent application workflows.
• Implement and improve CI/CD practices for data pipelines and AI components.
• Ensure the quality and availability of data used by decision engines and enterprise applications.
• Collaborate on architectural standards, engineering practices, and technical guidelines for Data Engineering and Artificial Intelligence initiatives.
• Support monitoring, troubleshooting, and continuous improvement of distributed applications and data environments.

Requisitos

• Bachelor's degree or equivalent higher education.
• Extensive experience in Data Engineering and the development of data pipelines in corporate environments.
• Practical knowledge of Generative AI, LLMs, and agent-oriented architectures, including Agentic AI concepts.
• Extensive hands-on experience implementing Retrieval-Augmented Generation (RAG) solutions.
• Experience building evaluation and monitoring pipelines for AI applications.
• Strong experience with automated testing, software quality, and validation of data workflows.
• Solid knowledge of DevOps practices, CI/CD, and automation.
• Advanced Python skills applied to Data Engineering and AI solutions.
• Extensive experience with APIs, microservices, and enterprise integrations.
• Knowledge of observability, monitoring, and troubleshooting for distributed applications.
• Familiarity with messaging technologies such as Kafka is a plus.
• Knowledge of CI/CD platforms and tools such as Azure DevOps and ArgoCD is desirable.
• Experience with infrastructure and process automation tools such as Ansible and Terraform is desirable.
• Familiarity with Shell Script for automation and solution development is a plus.
• Knowledge of Prometheus and Grafana for monitoring and metrics analysis is advantageous.
• Experience designing business-oriented observability models focused on strategic and operational indicators is a strong differentiator.

Diferenciais

• 100% remote work model.
• Meal and food allowance.
• Medical insurance for employees and dependents.
• Dental insurance for employees and dependents.
• Two psychologist consultations per month at no cost.
• Two nutritionist consultations per month at no cost.
• Gympass/Wellhub membership.
• Weekly wellness sessions, including massage.
• Life insurance.
• Variable compensation based on role and achievement of targets.
• Discounts at universities and educational institutions.
• Partnership with language schools.
• Birthday Day Off.
• Payroll-deducted loan program.
• Transportation allowance, company shuttle, or parking options.
• Childcare allowance.
• Sesc partnership and benefits.

Sobre a empresa

Our partner is looking for a Pessoa Engenheira de Dados Sênior - Data & AI based in Brazil. This is a senior opportunity at the intersection of Data Engineering and Artificial Intelligence.

Benefícios

• 100% remote work model.
• Meal and food allowance.
• Medical insurance for employees and dependents.
• Dental insurance for employees and dependents.
• Two psychologist consultations per month at no cost.
• Two nutritionist consultations per month at no cost.
• Gympass/Wellhub membership.
• Weekly wellness sessions, including massage.
• Life insurance.
• Variable compensation based on role and achievement of targets.
• Discounts at universities and educational institutions.
• Partnership with language schools.
• Birthday Day Off.
• Payroll-deducted loan program.
• Transportation allowance, company shuttle, or parking options.
• Childcare allowance.
• Sesc partnership and benefits.