1

Generative Ai Developer Jobs in New Jersey (NOW HIRING)

Job#: 3049135 Generative AI Engineer Location: Jersey City, New Jersey (Onsite) Role Overview You ... Hands-on DevOps experience with tools such as Git/Bitbucket, Jenkins, SonarQube, pytest ...

next page

Showing results 1-20

Generative Ai Developer information

See New Jersey salary details

$19

$45

$102

How much do generative ai developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for generative ai developer in New Jersey is $45.98, according to ZipRecruiter salary data. Most workers in this role earn between $23.89 and $55.62 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 are popular job titles related to Generative Ai Developer jobs in New Jersey?

For Generative Ai Developer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in New Jersey look for?

The top searched job categories for Generative Ai Developer jobs in New Jersey are:

What cities in New Jersey are hiring for Generative Ai Developer jobs?

Cities in New Jersey with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in New Jersey as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 2% Temporary, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $95,635 per year, or $46 per hour.

Generative AI Engineer

Apex Systems

Jersey City, NJ โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Job#: 3049135
Job Description:
Generative AI Engineer
Location: Jersey City, New Jersey (Onsite)
Role Overview
You will join a team driving innovation in Artificial Intelligence. This position involves building the next generation of Generative AI platforms to support new AI projects. This is an opportunity to build a secure, scalable, and high-performance system that will power AI solutions. You will design, build, and manage reusable tools for Generative AI and Retrieval-Augmented Generation (RAG) on projects that meet the organization's operational goals.
Key Responsibilities
  • Design, build, and manage reusable tools for Generative AI and Retrieval-Augmented Generation (RAG).
  • Ensure software meets all functional, non-functional, and compliance requirements and is easy to maintain, integrate, and test.
  • Collaborate with other teams to deliver reliable and innovative solutions that advance the organization's AI strategy.
  • Develop efficient utilities, automation frameworks, and data science platforms for AI/ML and GenAI work.
  • Work in large teams to collaboratively develop on a shared multi-repo codebase using IDEs, Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing.
  • Build and deploy a Gen AI inferencing platform with open-source toolsets, and build inferencing servicing capabilities for RAG/MCP use cases.
  • Drive and maintain a culture of quality, innovation, and experimentation.
  • Research new tools and capabilities for advanced analytics platforms, create quick prototypes, and demonstrate features.
Required Qualifications
Experience:
  • 3+ years of object-oriented programming in Python with expert-level development skills.
  • Experience with the AI/ML/GenAI lifecycle, development, and its ecosystem, including hands-on experience building frameworks using MLOps, fine-tuning techniques, and inference frameworks.
  • Hands-on experience and knowledge of the generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking, and summarization.
  • Expertise in application development in one or more areas: MongoDB, Redis, Angular/React Frameworks, Containerization, building API-based applications leveraging FAST API services, JWT Integration, and API Gateway.
  • Hands-on DevOps experience with tools such as Git/Bitbucket, Jenkins, SonarQube, pytest, Artifactory, and Ansible.

Technical Skills:
  • Python
  • MongoDB
  • Node.js

Professional Skills:
  • Ability to adhere to processes and demonstrate efficiency in handling project tasks.
  • Aptitude for connecting details to resolve complex infrastructure issues quickly.
  • Self-motivated and results-oriented with analytical and problem-solving skills.
  • Interpersonal, presentation, and communication skills.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.