Why this role stands out
Elevate your career by joining Digitive LLC, where you will leverage cutting-edge AI-first methodologies to transform the entire software development lifecycle and drive measurable business innovation. This role is perfect for a forward-thinking engineer passionate about integrating Agentic AI and advanced automation into Oracle SCM environments, so apply today to shape the future of AI-driven development.
Quick overview
Job description
AI APP Engineer
Location: Atlanta, GA (Onsite)
Key Responsibilities
Our primary focus is on identifying AI-first engineers who can leverage AI across the entire SDLC, rather than traditional Oracle SCM developers who have only limited exposure to AI tools.
In addition to Oracle SCM functional and technical expertise, we would like candidates to demonstrate hands-on experience with:
- AI-assisted requirements analysis and design
- AI-driven code generation and refactoring
- AI-assisted testing, test automation, and regression strategies
- AI-enabled DevOps, code review, documentation generation, and operational support
- Experience with GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows is especially valuable.
Candidate should be able to quantify business outcomes achieved through AI adoption, such as reduced development cycle time, improved code quality, lower testing effort, or faster issue resolution.
While testing is an important component, our need is broader than a dedicated testing profile. We are looking for engineers who can apply AI throughout the full software development lifecycle, from requirements through deployment and support.
Experience with AI-fueled engineering frameworks and software modernization initiatives, as we are actively transforming how Supply Chain applications are designed, developed, tested, and supported using AI-enabled workflows. Close alignment with the organization’s Supply Chain AI strategy and broader AI transformation goals.
Top Skills:
- AI-assisted requirements analysis and design
- AI-driven code generation and refactoring
- AI-assisted testing, test automation, and regression strategies
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