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Generative Ai Developer Jobs in Bear, DE (NOW HIRING)

Apex Systems

Generative AI Engineer

Newark, DE · On-site

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract Contract Duration: 12 Months Role Overview This role involves the design, development, and deployment of ...

Parsons

AI/ML Engineer

Aberdeen, MD · On-site

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred. * Knowledge of MLOps practices, CI/CD ...

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred. * Knowledge of MLOps practices, CI/CD ...

Parsons

AI/ML Engineer with Security Clearance

Aberdeen, MD · On-site

$88K - $118K/yr

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred. * Knowledge of MLOps practices, CI/CD ...

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Generative Ai Developer information

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$43

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How much do generative ai developer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for generative ai developer in Bear, DE is $43.56, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $52.69 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.
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Bear, DE as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $90,596 per year, or $43.6 per hour.

Generative AI Engineer

Newark, DE • On-site

Apex Systems
IT Services • 1 - 5K employees
Learn more about Apex Systemsexternal

Other

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

Job#: 3046301
Job Description:
Generative AI Engineer
Location: Newark, DE (Hybrid)
Employment Type: Contract
Contract Duration: 12 Months
Role Overview
This role involves the design, development, and deployment of Generative AI solutions using on-premises models and infrastructure to create new content and insights. The position will leverage Large Language Models (LLMs), prompt engineering, ChatBots, and machine learning technologies. The successful candidate will work closely with cross-functional teams to build GenAI solutions.
Key Responsibilities
  • Design, develop, and deploy Generative AI solutions.
  • Utilize on-premises models and infrastructure to generate content and insights.
  • Leverage LLMs, prompt engineering, and ChatBot technologies.
  • Work with machine learning technologies to build solutions.
  • Collaborate with cross-functional teams on GenAI projects.
Required Qualifications
  • A minimum of 3 years of experience in AI and Generative AI.
  • Programming experience in Python, including LangChain, LangGraph, and Streamlit.
  • Expertise in data science and experience with AI frameworks.
  • Knowledge of natural language processing for text generation.
  • Skills in data preprocessing, feature engineering, and vector databases.

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.

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