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Generative Ai Developer Jobs (NOW HIRING)

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... and prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC ...

Astra North Infoteck Inc.

$44.75 - $61.75/hr

Role: Generative AI Developer Duration: 12 Months Location: Toronto, ON Work Model: Hybrid ? 2 Days Onsite Weekly Required Skills & Experience * 5+ years of professional experience in software ...

B5 Recruiting

AI Engineer

Washington, DC

AI Developer -- Generative AI / LLM Engineering Employment Type: Full-Time - Washington, DC Clearance: Public Trust eligible required About the Role We are placing a Generative AI Developer with a ...

Apex Systems

Generative AI Engineer

Charlotte, NC

$60 - $65.06/hr

Job#: 3035027 Generative AI Engineer Location: Charlotte, North Carolina (Onsite) Employment Type: Contract Duration: 12 Months Role Overview We are seeking a Generative AI Engineer for a contract ...

Cynet Systems

Gen AI Developer

Nashville, TN

Gen AI Developer Job Location: Nashville, TN Job Type: Contract Job Overview: Requirement/Must Have ... Strong production experience delivering Generative AI applications in enterprise or customer-facing ...

New

RIIM

Generative AI Engineer (Gen AI)

Atlanta, GA · On-site

Strong programming experience in Python OR Java. * Hands-on experience with LLMs and Generative AI frameworks. * Experience with: * LangChain / LangGraph * RAG Architecture * Prompt Engineering

BravoTech

Sr AI Developer

Irving, TX · On-site

$112.80K - $151.80K/yr

AI/ML Engineering ... Generative AI / LLMs * PyTorch / TensorFlow / Scikit-learn * LangChain / OpenAI APIs / Hugging Face

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

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How much do generative ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for generative ai developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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 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 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.

More about Generative Ai Developer jobs
What cities are hiring for Generative Ai Developer jobs? Cities with the most Generative Ai Developer job openings:
What states have the most Generative Ai Developer jobs? States with the most job openings for Generative Ai Developer jobs include:
What job categories do people searching Generative Ai Developer jobs look for? The top searched job categories for Generative Ai Developer jobs are:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in the United States as of May 2026, with employment types broken down into 16% Full Time, 75% Part Time, and 9% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.

Generative AI Architect

Saransh Inc

Charlotte, NC • On-site

$61.50 - $81/hr

Contractor

Posted 22 days ago

Job description

Job Title: Generative AI Architect
Location: Charlotte, NC (Onsite from Day 1)
Job Type: Contract
 
Skill Metrics:
 
Claude
Microsoft GitHub Copilot
PyTorch
 
 
What are the top skills required for this role?
1. Hands on experience of driving gen AI solution using Copilot, Claude Code etc in the STLC
2. Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
3. Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle

Job Description/ Responsibilities:
  • Seeking a visionary and experienced Senior Generative AI Architect to lead the design, development, and implementation of generative AI solutions across software test lifecycle.
  • The selected candidate will define the strategic roadmap for GenAI, evaluate and select appropriate architectures, and ensure the scalability, security, and performance of deployed models.
  • This is a highly collaborative role that bridges client needs, R&D innovation, and enterprise-grade AI engineering.

Key Responsibilities:
• GenAI solution in STLC
o Build/Test Solution to create test automation code for UI/API through GenAI assisted coding
o Build/Test solution for test data mining using Generative AI
• Architecture & Design
o Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
o Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle
• Strategy & Roadmap
o Define GenAI adoption roadmap in alignment with client goals
o Evaluate build-vs-buy decisions and advise on vendor/platform selections
o Advocate for responsible AI practices and model governance frameworks
• Collaboration & Leadership
o Collaborate with data scientists, ML engineers, product managers, and key stakeholders
o Mentor teams in GenAI best practices, including model optimization, deployment, and safety measures
• Innovation & Experimentation
o Stay ahead of the curve on advancements in transformer architectures, LLM training, and multimodal AI.
o Prototype custom models using frameworks like LangChain, PyTorch, etc.