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AI Transformation Engineer
Skills
AI SolutionsAgentic WorkflowsGenerative AI Tools
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years in software engineering data engineering or technical program management with hands-on coding
- Strong proficiency in Python and SQL
- Experience building production-grade applications
- Hands-on experience with AI ML tools LLMs or automation frameworks in real-world deployments
- Experience developing dashboards data visualizations or web applications
- Solid understanding of data modeling ETL pipelines and system integrations
- Ability to own projects end-to-end with minimal supervision
- Strong communication skills and ability to work with cross-functional teams
Nice to have
- Builder mindset
- Comfortable with ambiguity
- Strong stakeholder engagement
- Independent execution
- Portfolio-driven
Day to day
- Design and build AI-powered tools and automation workflows that improve operational efficiency across engineering and program management teams.
- Develop production-grade applications and internal systems using Python SQL and modern web frameworks.
- Create interactive dashboards data models ETL pipelines and integrations to streamline visibility decision-making and business processes.