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Generative Ai Developer Jobs (NOW HIRING)

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

* Lead Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive compensation package Are you an experienced software developer passionate about Generative AI ...

Role Overview An experienced Generative AI Developer is sought to design, build, and deploy enterprise-grade AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation ...

Role Summary We are looking for a Generative AI Developer who can build end-to-end, production-grade applications using Generative AI. The ideal candidate is a strong technologist with experience ...

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

About the Role We are looking for a Senior Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

Job Summary : eTeam is a company looking for a Generative AI Developer. The role involves strong Python development and experience with various AI and machine learning frameworks, focusing on ...

Role Summary We are looking for a Generative AI Developer who can build end-to-end, production-grade applications using Generative AI. The ideal candidate is a strong technologist with experience ...

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time Experience Required: 6+ Years Visa Type: USC / GC Only Interview Mode: In-person (Final Round) Must-Have ...

Job Title: AI Engineer - Generative AI Location: Canada or Mexico (Remote) Job Type: Contract ... VS Code, PyCharm, Git, GitHub / Azure DevOps, Docker * Observability: Opik, LLM Monitoring ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Sep 8, 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 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.
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What states have the most Generative Ai Developer jobs?

States with the most job openings for Generative Ai Developer jobs include:

Infographic showing various Generative Ai Developer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.

Generative AI developer

Syntricate Technologies

Tampa, FL • On-site

Full-time

Re-posted 13 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Generative AI developer with over 6 years of experience. The role involves working with various AI technologies including NLP, speech recognition, and computer vision to develop innovative solutions.
Responsibilities:
• Overall 6+ years' experience in Generative AI developer
• Knowledge of LlamaIndex, a large-scale language model from Google.
• Experience with using openSource language models from the LangChain project.
• Proficiency in NLP tasks such as text classification, named entity recognition, and question answering.
• Knowledge of speech recognition and synthesis technologies.
• Experience with computer vision tasks such as image classification, object detection, and segmentation.
• Understanding of RAG models and their applications.
Qualifications:
Required:
• Overall 6+ years' experience in Generative AI developer
• Knowledge of LlamaIndex, a large-scale language model from Google.
• Experience with using openSource language models from the LangChain project.
• Proficiency in NLP tasks such as text classification, named entity recognition, and question answering.
• Knowledge of speech recognition and synthesis technologies.
• Experience with computer vision tasks such as image classification, object detection, and segmentation.
• Understanding of RAG models and their applications.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.