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Ai First Fullstack Engineer Jobs in Plano, TX (NOW HIRING)

Buaut

Fullstack AI Developer

The Colony, TX · On-site

Senior AI Full Stack Engineer Location- Peachtree City, GA, Farmington Hills, MI and The Colony, TX-Hybrid-onsite Overview Senior AI Full Stack Engineer will design, build, and ship production-grade ...

Judge Group, Inc.

Senior AI Engineer

Mesquite, TX · On-site

$150K - $170K/yr

React frontend, multi-tier API-first architecture, modern backend framework (your recommendation), AI tooling (your recommendation) By providing your phone number, you consent to: (1) receive ...

MethodHub

AI Database Platform Lead

Dallas, TX · On-site

... AI-first Database Platform Engineering model. • Drive AI-powered automation for database provisioning, monitoring, maintenance, performance tuning, and incident management. • Build and manage ...

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Ai First Fullstack Engineer information

See Plano, TX salary details

$42.6K

$129K

$182.3K

How much do ai first fullstack engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai first fullstack engineer in Plano, TX is $128,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $151,200.00 per year, depending on experience, location, and employer.

What is the difference between Ai First Fullstack Engineer vs Software Developer?

AspectAi First Fullstack EngineerSoftware Developer
Required CredentialsBachelor's in CS, AI/ML knowledge, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentTech companies, startups, AI-focused teamsVarious industries, tech firms, startups
Industry UsageAI-driven projects, product developmentSoftware applications, web development
Common Search/ComparisonYesYes

The Ai First Fullstack Engineer specializes in integrating AI and machine learning into fullstack development, often requiring knowledge of AI frameworks. Software Developers focus on building software applications across various domains. While both roles require strong coding skills, the Ai First Fullstack Engineer emphasizes AI integration, making it distinct in AI-centric environments.

What are popular job titles related to Ai First Fullstack Engineer jobs in Plano, TX?

For Ai First Fullstack Engineer jobs in Plano, TX, the most frequently searched job titles are:

What job categories do people searching Ai First Fullstack Engineer jobs in Plano, TX look for?

The top searched job categories for Ai First Fullstack Engineer jobs in Plano, TX are:

What cities near Plano, TX are hiring for Ai First Fullstack Engineer jobs?

Cities near Plano, TX with the most Ai First Fullstack Engineer job openings:

Ai First Fullstack Engineer jobs near you
Infographic showing various Ai First Fullstack Engineer job openings in Plano, TX as of September 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Contract. Highlights an 63% In-person, and 37% Remote job distribution, with an average salary of $128,987 per year, or $62 per hour.

AI Engineer - Oracle SCM Applications Suite

Dallas, TX • On-site

UniqueHire Consulting LLC
See more jobs at UniqueHire Consulting LLCexternal

$74/hr

Other

Posted 3 days ago

New

Job description

AI First Engineer – Oracle SCM Applications Suite

Max Vendor Rate: $74

Location: Onsite. Atlanta GA – or – Dallas TX

Job Summary

  • We are seeking an AI-First Engineer with deep Oracle SCM expertise and 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 an Oracle SCM 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 across Oracle SCM Cloud and/or Oracle EBS applications.
  • 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.

Key Responsibilities

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

6. Oracle SCM & Technical Expertise

Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications

Business Impact & Measurement

Ability to quantify and communicate outcomes from AI adoption, including:

    • Development cycle time reduction
    • Improved code quality
    • Reduced defect rates
    • Reduced testing effort
    • Faster deployment cycles
    • Faster incident resolution
    • Increased developer productivity

 

Top Skills:

  1. GitHub Copilot, Oracle Code Assist, Agentic AI frameworks
  2. PL/SQL, Java, JavaScript, Groovy, VBCS, OIC, and APEX
  3. Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications

Years of Experience:    12.00 Years of Experience

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