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Remote Generative Ai Engineer Jobs (NOW HIRING)

Afficiency

Generative AI Engineer

Manhattan, NY · On-site +1

AI & Generative AI * Prompt Engineering * Large Language Models (LLMs) * OpenAI GPT/Codex * Anthropic Claude * Google Gemini * AI Agents and Agentic Workflows * RAG (Retrieval Augmented Generation)

Huzzle

AI Engineer - Remote

You will work closely with product, engineering, and data teams to design intelligent systems ... This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ...

Jobgether

$79K - $104K/yr

Our partner is looking for a Generative AI Pipeline Engineer (Tech Lead) based in Netherlands. This ... Fully remote work environment with flexibility to work from anywhere. * Generous paid vacation ...

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation and advanced data processing. Responsibilities:

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented ... Develop Generative AI solutions, including chatbots, summarization, and content creation tools.

EMCOR Group, Inc.

AI Engineer

Norwalk, CT · On-site +1

This role reports to the VP of Information Technology and is fully remote. Essential Duties ... Build practical AI capabilities including generative AI applications, AI agents, workflow ...

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Remote Generative Ai Engineer information

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$38K

$115.9K

$191.5K

How much do remote generative ai engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
More about Remote Generative Ai Engineer jobs
What cities are hiring for Remote Generative Ai Engineer jobs? Cities with the most Remote Generative Ai Engineer job openings:
What are the most commonly searched types of Generative Ai Engineer jobs? The most popular types of Generative Ai Engineer jobs are:
What states have the most Remote Generative Ai Engineer jobs? States with the most job openings for Remote Generative Ai Engineer jobs include:
What job categories do people searching Remote Generative Ai Engineer jobs look for? The top searched job categories for Remote Generative Ai Engineer jobs are:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Generative AI Engineer (Remote)

Delan Associates, Inc

Kansas City, MO • Remote

Full-time

Posted 18 days ago

Job description

Hiring: Generative AI Engineer
Location: Kansas City, MO (2 days/week onsite Local candidates only)

Experience: 8+ Years

We're looking for an experienced Generative AI Engineer with expertise in:

Generative AI & Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Agentic AI Frameworks

Python & API Development

Azure and/or GCP Cloud Platforms

Workflow Automation & Document Intelligence

AI POC Development

Preferred: Banking/Financial Services experience and exposure to AI Governance, Risk & Compliance.