
Real job — pulled straight from Fortive’s careers page · Verified August 5, 2026 · No reposts.
Job description
Fortive is hiring a Software Engineer, Data & AI Applications — a full-time, based in São Paulo role. Apply directly on Fortive's careers page below.
Software Engineer, Data & AI Applications
Location: Brazil
Department: Information Technology
Work Location: remote local
Location - São Paulo - Remote
Software Engineer, Data & AI Applications
Why You Should Join?
What You'll 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 You'll 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.
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Frequently asked questions
What skills are required for Software Engineer, Data & AI Applications at Fortive?
The required skills for Software Engineer, Data & AI Applications at Fortive include: SQL, Python, Snowflake, dbt, API, LLM, RAG, CI/CD, Git.
What is the seniority level for Software Engineer, Data & AI Applications at Fortive?
Software Engineer, Data & AI Applications at Fortive is a Mid Level level position.
How do I apply for Software Engineer, Data & AI Applications at Fortive?
You can view the full description and apply for Software Engineer, Data & AI Applications at Fortive on EchoJobs: https://echojobs.io/job/fortive-software-engineer-data-ai-applications-1im3b.