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# AI-First Engineer

- **Company:** Ipolarity LLC
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Bug Tracking Systems, Software Bug Management, Cloud Computing, Code Generation, Software Code Optimization, Software Quality, Code Review, Continuous Delivery, Continuous Integration, DevOps, Github, Groovy, Oracle (Applications), Systems Development Life Cycle, Regression Testing, Requirements Management, Reverse Engineering, Server Administration, Software Engineering, PL-SQL, Systems Integration, Test Case, Test Data, Strategies of Testing, Apex Code, GitHub Copilot, Prompt Engineering, Generative AI, Integration Tests, Deployment Automation, Virtual Agents, Oracle Cloud Infrastructure, Code Restructuring, GPT, Programming Languages
- **Published:** September 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/business-analyst-bizant-dallas-tx--9205d3e7-a9d1-4d83-b365-7094303a641f

## About the Role

Acceptance Testing, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Bug Tracking/Defect Management, Business Analysis, Cloud Computing, Code Reviews, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, DevOps, Documentation, Environmental Management, Functional Testing, Gap Analysis, GitHub, Green Business, Groovy Programming Language, Integration Testing, Java, JavaScript, Operational Support, Oracle, Oracle PL-SQL, Problem Solving Skills, Process Flow, Productivity Management, Quality Management, Refactoring, Regression Testing, Release Notes, Reporting Skills, Requirements Management, Reverse Engineering, Root Cause Analysis, Security Analysis, Software Administration, Software Design, Software Development, Software Development Lifecycle (SDLC), Supply Chain Management Software, Technical Writing, Technical/Engineering Design, Test Automation, Test Case, Test Data, Test Plan/Schedule, Test Strategy, Testing, Time Management,
Traceability

## Description

We are seeking an AI-First Engineer with a proven track record of applying AI across the entire Software Development Lifecycle (SDLC). This role is focused on transforming how Supply Chain applications are designed, developed, tested, deployed, and supported through AI-enabled engineering practices.
The ideal candidate is not simply a developer who occasionally uses AI tools, but an engineer who consistently leverages AI technologies to improve productivity, code quality, testing efficiency, operational support, and overall software delivery outcomes.
The role will drive AI-powered development and modernization initiatives
Candidates should be able to demonstrate and quantify measurable business outcomes achieved through AI adoption, including reduced development cycle times, improved code quality, lower testing effort, accelerated deployments, and faster issue resolution., AI-Fueled Software Engineering Across the SDLC
Apply AI-enabled engineering practices throughout all phases of the software lifecycle:

 1. AI-Assisted Requirements & Solution Design
Leverage AI and LLM technologies to analyze business requirements, BRDs, user stories, process flows, and SCM functional specifications.
Generate technical designs, impact assessments, traceability matrices, solution alternatives, and effort estimates using AI-assisted workflows.
Utilize AI to accelerate fit-gap analysis and quarterly Oracle Cloud upgrade impact assessments.
Apply AI-driven knowledge discovery to reduce analysis and design cycle times.

 2. AI-driven code generation and refactoring
Use GitHub Copilot, Oracle Code Assist, Agentic AI frameworks, and similar tools to accelerate development across PL/SQL, Java, JavaScript, Groovy, VBCS, OIC, and APEX.
Implement AI-assisted code generation, code optimization, refactoring, reverse engineering, and legacy modernization initiatives.
Develop Oracle SCM customizations, integrations, extensions, reports, and automation solutions using AI-enabled development practices.
Apply AI to automate integration mappings, API creation, report generation, and technical documentation.

 3. AI-assisted testing, test automation, and regression strategies
Build AI-powered testing strategies covering functional, integration, regression, performance, and user acceptance testing.
Utilize AI for automated test case generation, test data creation, defect identification, and test maintenance.
Implement AI-enhanced regression testing frameworks to support Oracle Cloud quarterly releases.
Leverage AI tools for defect triage, root cause analysis, and predictive quality insights.

 4. AI-enabled DevOps, code review, documentation generation, and operational support
Integrate AI-assisted code reviews, security analysis, static code scanning, and quality gates into CI/CD pipelines.
Utilize AI to generate deployment documentation, release notes, implementation guides, and operational runbooks.
Apply AI-powered monitoring and analytics to assess Oracle quarterly release readiness and business impact.
Support AI-driven deployment automation and environment management practices.

 5. Experience with GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows
GitHub Copilot
Oracle Code Assist
ChatGPT
Claude
Agentic AI frameworks
OCI Generative AI

Business Impact & Measurement
Ability to quantify and communicate outcomes from AI adoption, including:
o Development cycle time reduction
o Improved code quality
o Reduced defect rates
o Reduced testing effort
o Faster deployment cycles
Faster incident resolution
Increased developer productivity

Top Skills:
GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows


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