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Generative Ai Developer Jobs in Monroe, NC (NOW HIRING)

Scout Motors

Lead, AI Engineering

Charlotte, NC · On-site

$100K - $131K/yr

The team combines expertise in machine learning, generative AI, data engineering, and platform infrastructure to deliver innovative solutions that improve business outcomes and accelerate digital ...

Compunnel

Dot Net AI Developer

Charlotte, NC · On-site

$47.25 - $62.25/hr

NET 8. - Experience with Web APIs, Entity Framework, LINQ, SQL Server. - Knowledge of AI/ML concepts such as NLP, predictive analytics, recommendation systems, or generative AI. - Hands-on experience ...

Lorven Technologies

Senior AWS GenAI

Charlotte, NC · On-site

$102K - $140K/yr

Our client is looking AWS Generative AI Engineer for Contract project in Charlotte, NC (Hybrid ) below is the detailed requirements. Job Title : AWS Generative AI Engineer Location : Charlotte ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Monroe, NC

Generative Ai Developer information

See Monroe, NC salary details

$17

$41

$93

How much do generative ai developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for generative ai developer in Monroe, NC is $41.99, according to ZipRecruiter salary data. Most workers in this role earn between $21.83 and $50.82 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What job categories do people searching Generative Ai Developer jobs in Monroe, NC look for?

The top searched job categories for Generative Ai Developer jobs in Monroe, NC are:

What cities near Monroe, NC are hiring for Generative Ai Developer jobs?

Cities near Monroe, NC with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Monroe, NC as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $87,334 per year, or $42 per hour.

AI/python developer openings

1 point system

Fort Mill, SC • Remote

$90 - $100/hr

Contractor

Posted 22 days ago

Job description

Hi ,
I hope you're doing well.

I'm reaching out regarding an exciting opportunity that I believe aligns well with your background and skill set.

To move forward, could you please provide the following details along with latest copy of resume:

Work Authorization and Expiry (If any)

LinkedIn Profile URL

Current Location with Zip code

Pay Expectation on W2 (hourly)

Complete JD:

Job Title

AI/python developer

Location

Remote

Rate

$90-100/hr on W2

Must have: any AI tooling, front end (either vue.js or react, or angular), python, Infrastructure as code (IAC) with Terraform, cloud experience

Position Summary

The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.

The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.

Key Responsibilities

  • Define and lead the organization's enterprise AI architecture strategy.
  • Design, build, and deploy scalable AI-powered applications and distributed systems.
  • Provide technical leadership for large-scale AI transformation initiatives.
  • Develop production-quality software and remain hands-on with coding and solution implementation.
  • Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
  • Establish AI governance, best practices, security standards, and ethical AI frameworks.
  • Evaluate emerging AI technologies and recommend strategic investments.
  • Mentor senior engineers and cultivate future technical leaders.
  • Drive adoption of AI-assisted development tools and modern engineering practices.
  • Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
  • Lead technical design reviews and influence enterprise-wide engineering standards.
  • Support multiple project teams operating in quarterly delivery cycles.

Team Environment

  • Cross-functional teams consisting of:
    • Software Engineers
    • Research Scientists
    • Product Managers
    • AI/ML Engineers
  • Typical project teams range from 1–5 engineers
  • Agile delivery model with quarterly planning and execution cycles
  • Strong focus on AI-first software engineering practices
  • Active use of AI-assisted development tooling

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Extensive experience designing and implementing enterprise-scale AI solutions
  • Expert-level Python development experience
  • Proven experience building scalable distributed systems
  • Strong understanding of AI/ML technologies and modern software architecture
  • Experience designing cloud-native applications within AWS and/or GCP environments
  • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
  • Experience leading large technical programs and influencing organizational strategy
  • Excellent communication and stakeholder management skills

Required Technical Skills

Backend Development

  • Python (required)
  • Strong backend engineering experience
  • API and microservices design

Frontend Development

  • Vue.js (preferred)
  • React or Angular acceptable

Cloud & Infrastructure

  • AWS and/or Google Cloud Platform (GCP)
  • Terraform
  • Cloud-native architecture
  • Distributed systems

DevOps & Development Tools

  • GitLab
  • CI/CD pipelines
  • Infrastructure automation

Artificial Intelligence

  • Generative AI technologies
  • AI application architecture
  • AI-assisted development tools
  • Experience with tools such as:
    • Claude
    • Codex
    • GitHub Copilot
    • Similar AI engineering platforms