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Software Engineer, Data & AI Applications
Job Location:
Monthly Salary:
Posted:
5 August 2026 (30+ days ago)
Posted:
Application Deadline:
2 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Description
Location - São Paulo - Remote
Software Engineer Data & AI Applications
Why You Should Join
Were building a modern data and AI platform that helps employees find trusted information automate business processes and make better decisions faster.
As a Software Engineer Data & AI Applications youll play a key role in shaping how enterprise data is transformed into intelligent actionable experiences. Youll work across the full technology stack from data ingestion and modeling to AI-powered applications and agent-driven workflows. This is an opportunity to work at the intersection of software engineering data platforms and applied AI while helping define the next generation of internal business tools.
If you enjoy solving complex technical problems building scalable systems and experimenting with emerging AI technologies in a production environment wed love to hear from you.
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.
We recognize that strong candidates may not meet every preferred qualification. If youre excited about this opportunity and believe your experience aligns with the role we encourage you to apply.
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.
We are committed to creating an inclusive workplace where everyone can thrive. We welcome applicants from all backgrounds experiences and perspectives. We believe diverse teams drive better innovation stronger collaboration and more impactful results.
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Required Experience:
IC
About Company
Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product d ... View more
