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Remote Generative Ai Engineer Jobs (NOW HIRING)

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ...

Azumo

AI Software Engineer - Remote

AI Software Engineer (Generative AI) Azumo , a leading AI Development company , is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers . We specialize in ...

SS&C Technologies

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 ...

SolGenie

AI Lead With SAP Background

$104K - $138K/yr

Torrance, CA (Remote) Duration: 6+ Months Job Summary * We are seeking a hands-on AI Lead / Lead Generative AI Engineer with a strong SAP background to design, build, and deploy enterprise-grade ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and ... Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on ...

OneMagnify

AI Engineer

Role Summary As an AI Engineer at OneMagnify, you'll focus on making machine learning and ... Your work will ensure machine learning and generative AI models are deployable, observable, and ...

Nimble Gravity

Sr AI Engineer

$107K - $146K/yr

Sr AI Engineer - Generative AI & Agentic Systems We're looking for an exceptional Sr AI Engineer to join our growing Data & AI practice and help build the next generation of AI-powered solutions.

Arize AI

Open Source AI Engineer (Typescript)

$185K - $200K/yr

As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and ... Fully Remote, Flexible Environment: We are a fully remote company with offices in the Bay Area and ...

Arize AI

Forward Deployed AI Engineer, East

New York, NY · On-site +1

$155K - $190K/yr

As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and ... While we are a remote-first company, the nature of this role requires candidates to be based in the ...

Corning

... generative AI tools. - Experience building applications, automations, internal tools, scripts ... remote and office presence as needed. - Opportunity to learn from senior engineers and grow into ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer Jobs

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 12, 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.

Temporary AI Engineer

EM Key Solutions Inc

OR • On-site, Remote

Full-time

Posted 21 days ago

Job description

AI Engineer
Temporary Assignment (through 2/13/2027)
Remote, USA; potential for minimal ad hoc travel
EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations.
The successful candidate will collaborate with cross-functional teams to identify high-value AI opportunities, develop proof-of-concepts, and deliver secure, scalable, production-ready AI solutions aligned with VA AI governance and Trustworthy AI principles.
Duties/Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
  • Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows.
  • Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization.
  • Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
  • Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs).
  • Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.
  • Ensure all AI solutions comply with VA cybersecurity, privacy, accessibility, and Trustworthy AI requirements.

Required Qualifications:
  • 5+ years in overall software engineering experience.
  • 2+ years of hands-on experience developing AI, Machine Learning, or Generative AI solutions.
  • Strong programming experience with Python.
  • Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development.
  • Strong analytical, communication, and problem-solving skills.

Preferred Qualifications:
  • Experience supporting the U.S. Department of Veterans Affairs (VA) or other Federal agencies.
  • Experience with healthcare IT, EHRM, VistA, Oracle Health Millennium, FHIR, or HL7.
  • Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.
  • Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Education/Technical Skills:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
  • Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • Docker • Kubernetes • SQL • Git • REST APIs • Vector Databases

Clearance:
  • S. Citizenship is requiredas is successfully passing a thorough Government background screening (Public Trust) requiring the completion of detailed forms and fingerprinting.
  • Ability to obtain and maintain necessary security clearances as required for access to classified information.

About EM Key Solutions:
Founded in 2015, EM Key Solutions, Inc. (EMKS) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) offering a broad range of services to support Federal Government enterprises in meeting their mission requirements and business demands. Relationships are key to EMKS! We adopt a customer-centric approach and proven management processes for every project we undertake. Through sound leadership and management principles, EMKS focuses on offering its clients the solutions they need to be successful at the most competitive rates throughout the project management lifecycle.
If you are curious to learn more about EM Key Solutions, please visit our website at
EMKS is an Equal Opportunity Employer committed to hiring and retaining qualified and talented individuals. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
Reasonable Accommodation Requests
EM Key Solutions is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or accommodation while seeking employment, please e-mail or call Human Resources at (727)-292-1521. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
E-Verify
As a Federal Contractor, we are required to use to validate employees' ability to work legally in the United States.
EEO is the Law
The law requires EM Key Solutions to post a notice describing the Federal laws prohibiting job discrimination.
Pay Transparency Non-Discrimination
EM Key Solutions will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
For information regarding your legal rights and protections, please click on the following link:

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