Location - São Paulo - Remote

Software Engineer Data & AI Applications

Why You Should Join

What Youll Do

Data Platform & Engineering

• Build and maintain reliable data pipelines using tools such as Airbyte Snowflake and dbt.
• Design and optimize scalable data models that support analytics reporting search and AI-powered applications.
• Develop and maintain dbt models testing frameworks documentation and deployment processes.
• Ensure data quality reliability governance and operational excellence across the data platform.

AI Application Development

• Build and enhance AI-powered applications that securely retrieve interpret and summarize business information.
• Design retrieval context-management prompt-engineering and tool-calling approaches that improve accuracy transparency and user trust.
• Develop agent-based workflows that can complete multi-step business processes using approved tools and systems.
• Create APIs services and integrations that connect AI applications with internal platforms and business systems.

Operations & Collaboration

• Monitor system health application performance data quality AI usage and operational costs.
• Troubleshoot issues across data pipelines warehouse transformations software services and AI workflows.
• Apply security access control testing logging and governance best practices throughout the development lifecycle.
• Partner with business stakeholders to translate requirements into scalable and maintainable solutions.
• Leverage AI-assisted development tools to improve productivity while maintaining high standards for code quality testing and documentation.

What You Bring

Required Qualifications

• Experience in software engineering data engineering analytics engineering or a related technical discipline.
• Strong SQL skills and proficiency in at least one programming language preferably Python.
• Experience building and supporting cloud-based data warehouses and production data pipelines.
• Hands-on experience with Snowflake and dbt.
• Experience with data integration or ingestion tools such as Airbyte.
• Experience developing applications that use large language models (LLMs) retrieval-augmented generation (RAG) tool calling or agent-based workflows.
• Familiarity with AI-assisted software development tools such as Claude Code GitHub Copilot Cursor Codex or similar platforms.
• Understanding of APIs source control automated testing CI/CD and modern software engineering practices.
• Strong problem-solving skills with the ability to troubleshoot across interconnected systems.
• Effective communication skills and the ability to collaborate with both technical and business stakeholders.

Preferred Qualifications

• Experience with Snowflake Cortex or other enterprise AI/LLM platforms.
• Experience designing semantic layers metadata systems or governed retrieval architectures.
• Familiarity with LLM evaluation frameworks observability tools token-cost optimization and response quality monitoring.
• Experience implementing role-based access controls data governance standards and data privacy protections.
• Experience supporting internal applications from early-stage prototypes through enterprise-scale production adoption.

What Youll Get

• The opportunity to build innovative AI-powered products that solve real business problems.
• Exposure to modern data analytics and AI technologies in a production environment.
• A collaborative team that values learning experimentation and continuous improvement.
• Opportunities to expand your expertise across software engineering data platforms and applied AI.
• Flexible work arrangements designed to support work-life balance.
• Professional development and continuous learning opportunities.
• Competitive compensation and benefits package.