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Remote Generative Ai Engineer Jobs in Stockbridge, GA

Finastra

AI Engineer Intern (Summer 2027)

Atlanta, GA · On-site +1

As an AI Engineer Intern at Finastra, you will gain hands-on experience working with cutting-edge Artificial Intelligence (AI) and Generative AI technologies. You will collaborate with experienced ...

New

YO AI Labs

AI Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Digital Insight

Principal AI Engineer

Atlanta, GA · Remote

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... Drive adoption of Generative AI, Agentic AI, and AI-powered workflow automation. * Develop reusable ...

BECPOS

Principal AI Engineer

Atlanta, GA · Remote

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... Drive adoption of Generative AI, Agentic AI, and AI-powered workflow automation. * Develop reusable ...

NCR

Principal AI Engineer

Atlanta, GA · Remote

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... Drive adoption of Generative AI, Agentic AI, and AI-powered workflow automation. * Develop reusable ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

FAVARH

AI Principal Engineer

Atlanta, GA · On-site +1

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Experience building and supporting enterprise-scale generative AI solutions. * Experience with ...

YO AI Labs

Marketing & Content Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Enterprise Marketing & Content Experts to evaluate ... Professional experience using generative AI or AI agents. * Strong analytical, problem-solving, and ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Stockbridge, GA

Remote Generative Ai Engineer information

See Stockbridge, GA salary details

$32.4K

$98.8K

$163.3K

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

As of Aug 30, 2026, the average yearly pay for remote generative ai engineer in Stockbridge, GA is $98,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $129,200.00 per year, depending on experience, location, and employer.

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.

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 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.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What job categories do people searching Remote Generative Ai Engineer jobs in Stockbridge, GA look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Stockbridge, GA are:

What cities near Stockbridge, GA are hiring for Remote Generative Ai Engineer jobs?

Cities near Stockbridge, GA with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you

AI Engineer Intern (Summer 2027)

Atlanta, GA • On-site, Remote

Finastra
See more jobs at Finastraexternal

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Who are we?


At Finastra, we're a global leader in financial services software, dedicated to expanding access to financial services and shaping what's next for the industry. Our technology powers missioncritical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world's top 50 banks, in more than 110 countries.

What Will You Contribute?

As an AI Engineer Intern at Finastra, you will gain hands-on experience working with cutting-edge Artificial Intelligence (AI) and Generative AI technologies. You will collaborate with experienced engineers and AI specialists to help develop innovative solutions that enhance how users interact with information, systems, and data.

This internship provides an opportunity to learn modern AI development practices while contributing to real-world projects involving Large Language Models (LLMs), conversational AI, intelligent search, and cloud-based AI platforms. You'll develop valuable technical skills, gain exposure to enterprise software development, and build a strong foundation for a career in AI and machine learning.

Responsibilities & Deliverables:

  • Support the development of AI-powered applications, including chatbots, virtual assistants, and knowledge-based solutions.

  • Assist in building Retrieval-Augmented Generation (RAG) solutions that combine AI models with enterprise knowledge sources.

  • Help develop natural language interfaces and AI-powered tools that simplify access to data and information.

  • Participate in prompt engineering activities to improve AI model responses and user experiences.

  • Work with AI frameworks such as LangChain, LangGraph, CrewAI, or similar technologies under the guidance of senior team members.

  • Assist with testing, debugging, documentation, and performance improvements for AI applications.

  • Participate in Agile ceremonies, including sprint planning, stand-ups, and team collaboration sessions.

  • Use GitHub and software engineering best practices for version control and code collaboration.

  • Explore new AI technologies and contribute ideas to support innovation and continuous improvement.

Required Skills & Experience:

Essential

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.

  • Coursework, personal projects, academic research, or internship experience involving software development or AI technologies.

  • Basic programming experience in Python.

  • Foundational understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.

  • Interest in Large Language Models (LLMs) and prompt engineering.

  • Basic understanding of databases and data structures.

  • Strong analytical and problem-solving skills.

  • Effective verbal and written communication skills.

  • Eagerness to learn, experiment, and work in a collaborative team environment.

Preferred

  • Familiarity with AI frameworks such as LangChain, LangGraph, CrewAI, or similar tools.

  • Exposure to cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).

  • Experience through coursework or projects using Generative AI or chatbot technologies.

  • Understanding of vector databases, embeddings, or semantic search concepts.

  • Familiarity with Git, GitHub, and software development lifecycle practices.

  • Experience participating in hackathons, research projects, or open-source initiatives.

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we stand for:

Flexibility: Enjoy unlimited vacation, subject to local regulations and business priorities. Benefit from hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.

Wellbeing: Access confidential onetoone support through our Employee Assistance Program, connect with our network of Wellbeing Champions and Gather Groups, and take part in monthly events and initiatives designed to help you thrive-inside and outside of work.

Health & Financial Security: Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.*

Sustainability: Paid time off for volunteering and donationmatching opportunities to support causes that matter to you.

Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra-open to everyone who wants to participate and contribute.

Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.

Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.

*Specific benefits may vary by location.

At Finastra, each individual is unique-bringing their own ideas, perspectives, cultural backgrounds, and experiences. We learn from one another, value what makes us different, and create an environment where everyone feels included, supported, and able to be their authentic selves.

Be unique. Be exceptional. Help us make a difference at Finastra.

Applicants for this position need to be located in posted location or their immediate surrounding areas. Due to the requirements of this position, this job posting is not available for, and Finastra will not be considering any applicants who currently reside in New York City or California.

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