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Assistant Generative Ai Certification Jobs (NOW HIRING)

OVA.Work

Generative AI Developer

... assistants, copilots, document intelligence solutions, and content generation applications. • ... or AI certifications. Company : OVA is the most advanced Automated, Intelligent, intuitive ...

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

Generative AI Specialist / AI & ML Developer Location: Remote About the Role * Peraton is seeking ... Relevant cloud/AI certifications (AWS, Azure, Google, DeepLearning.AI). Key Technologies ...

Hp

Senior ServiceNow Development Manager

Spring, TX · Remote

$48 - $66/hr

... Now Assist, generative AI, AI agents, and intelligent workflow automation across enterprise ... ServiceNow Certified System Administrator (CSA) required. * ServiceNow Certified Application ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI ... Certifications in Azure or AI-related fields. * Experience with large language models (LLMs) and ...

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

... assistants, and more. This is a unique opportunity to join the front-line effort to accelerate ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

Hearst

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... certifications, and education. Hearst provides a competitive benefits package, including medical ...

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Assistant Generative Ai Certification information

Is generative AI certification worth it?

Generative AI certification for roles like Assistant Generative AI Certification can validate skills in AI model development, natural language processing, and machine learning tools. It can enhance job prospects and demonstrate expertise in a competitive field, especially as AI skills become increasingly valued across industries.

What are some common challenges faced by an Assistant Generative AI Certification professional, and how can they be addressed?

As an Assistant Generative AI Certification professional, you may encounter challenges such as staying updated with rapidly evolving AI technologies, interpreting complex certification standards, and effectively communicating technical requirements to learners. Addressing these challenges involves continuous learning, collaborating closely with AI engineers and educators, and utilizing up-to-date resources and training materials. Developing strong project management and communication skills will help you bridge gaps between technical teams and certification participants, ensuring a smooth certification process.

What is the difference between Assistant Generative Ai Certification vs Data Analyst Certification?

AspectAssistant Generative Ai CertificationData Analyst Certification
Required CredentialsRelevant AI and machine learning courses, certifications in generative AI toolsStatistics, data analysis, SQL, Excel certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed to validate skills in AI development and deploymentUsed to analyze data, generate reports, support decision-making

The Assistant Generative Ai Certification focuses on skills related to AI and generative models, often in tech-driven environments. In contrast, Data Analyst Certification emphasizes data analysis skills applicable across various industries. Both certifications validate technical expertise but serve different roles within organizations.

What are the key skills and qualifications needed to thrive as an Assistant in Generative AI Certification, and why are they important?

To excel as an Assistant in Generative AI Certification, you need a solid understanding of AI concepts, machine learning fundamentals, and experience in educational support or certification processes, often backed by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, online learning platforms, and Learning Management Systems (LMS) is typically required. Strong communication, organizational skills, and attention to detail help you effectively support learners and facilitate smooth certification operations. These skills are crucial for ensuring accurate guidance, efficient program administration, and positive learner outcomes in a technical and evolving field.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI researcher, where skills in neural networks, natural language processing, and AI tools are essential. These positions often involve developing, training, and deploying AI models in various industries like tech, healthcare, and finance.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists, often requiring advanced skills in machine learning, deep learning, and extensive experience. These positions usually involve leadership, strategic planning, and the development of innovative AI solutions, and they tend to be found in large tech companies or specialized AI firms.

Can I get a job with AI certification?

An Assistant Generative AI Certification can improve your qualifications for roles involving AI development, machine learning, and data analysis. While certification demonstrates relevant skills, employers also value practical experience, programming knowledge, and understanding of AI tools like TensorFlow or PyTorch. Having a certification can enhance your job prospects but does not guarantee employment on its own.

What is an Assistant Generative AI Certification?

An Assistant Generative AI Certification is a credential that demonstrates foundational knowledge and skills in working with generative artificial intelligence tools and technologies. This certification is designed for individuals seeking to validate their understanding of basic AI concepts, prompt engineering, ethical considerations, and the practical applications of generative AI in various fields. Earning this certification can help entry-level professionals or students showcase their proficiency and readiness to assist in AI-related projects or roles. It typically covers topics such as language models, image generation, and responsible AI use.
More about Assistant Generative Ai Certification jobs
What cities are hiring for Assistant Generative Ai Certification jobs? Cities with the most Assistant Generative Ai Certification job openings:
What are the most commonly searched types of Generative Ai Certification jobs? The most popular types of Generative Ai Certification jobs are:
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What job categories do people searching Assistant Generative Ai Certification jobs look for? The top searched job categories for Assistant Generative Ai Certification jobs are:
Assistant Generative Ai Certification jobs near you
Infographic showing various Assistant Generative Ai Certification job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Generative AI Developer

OVA.Work

Remote

Full-time

Posted 4 days ago

Job description

Job Summary:
OVA.Work is seeking a Generative AI Developer to design, develop, and deploy AI-powered applications using large language models and multimodal AI models. The ideal candidate will have strong software engineering skills and experience in building production-ready generative AI solutions, collaborating with cross-functional teams to deliver innovative AI applications.
Responsibilities:
• Design, develop, and deploy generative AI applications using LLMs and multimodal AI models.
• Build AI-powered chatbots, virtual assistants, copilots, document intelligence solutions, and content generation applications.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Design and optimize prompts, system instructions, and workflows to improve model performance and accuracy.
• Integrate foundation models through APIs and cloud AI platforms into web, mobile, and enterprise applications.
• Fine-tune, evaluate, and optimize AI models where appropriate using modern training and evaluation techniques.
• Develop AI agents capable of planning, reasoning, and orchestrating multi-step tasks.
• Implement AI safety measures, content filtering, guardrails, and responsible AI practices.
• Collaborate with data engineers, software developers, DevOps engineers, product managers, and business stakeholders.
• Monitor AI application performance, latency, quality, and cost, and continuously improve deployed solutions.
• Create technical documentation, reusable components, and best practices for AI application development.
• Stay current with advancements in generative AI, foundation models, agentic AI, and emerging frameworks.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 3–8+ years of software development experience, including hands-on experience with generative AI technologies.
• Strong proficiency in Python and experience with modern software development practices.
• Experience working with large language models (LLMs) and foundation model APIs.
• Hands-on experience with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Experience developing REST APIs and integrating AI services into enterprise applications.
• Knowledge of machine learning fundamentals, NLP, and model evaluation techniques.
• Familiarity with cloud platforms and AI services.
• Strong analytical, debugging, and problem-solving skills.
Preferred:
• Experience building production-scale AI applications.
• Experience with agentic AI architectures and workflow orchestration.
• Knowledge of model fine-tuning, parameter-efficient tuning, or reinforcement learning concepts.
• Experience with multimodal AI applications involving text, images, audio, or video.
• Experience with MLOps, CI/CD pipelines, and containerized deployments.
• Contributions to open-source AI projects or published AI research.
• Relevant cloud or AI certifications.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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