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Remote Generative Ai Engineer Jobs in Virginia (NOW HIRING)

Steampunk

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

Overview We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role ...

REI Systems

Principal AI Engineer

Sterling, VA · On-site +1

Experience with generative AI models and methodologies is a strong plus, including prompt ... Hybrid - Sterling, VA HQ (with flexibility for remote work as per company policy). EEO Statement:

CareScout

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... and generative AI use cases. * Apply modern ML techniques, experimentation frameworks, and ...

Gnw

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... and generative AI use cases. * Apply modern ML techniques, experimentation frameworks, and ...

Genworth

Senior ML/AI Engineer

Richmond, VA · On-site +1

$114K - $227K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... and generative AI use cases. * Apply modern ML techniques, experimentation frameworks, and ...

Genworth Financial

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... and generative AI use cases. * Apply modern ML techniques, experimentation frameworks, and ...

Planet Labs PBC

AI Engineer, Marketing

Arlington, VA · On-site +1

The AI Engineer will help define, architect, and implement / project manage how artificial ... Experience implementing artificial intelligence tools including generative AI, workflow ...

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Remote Generative Ai Engineer information

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, and why are they important?

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.
What are the most commonly searched types of Generative Ai Engineer jobs in Virginia? The most popular types of Generative Ai Engineer jobs in Virginia are:
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Remote Generative Ai Engineer jobs near you
Full Stack AI Engineer (Agentic Systems) - Remote - USA

Full Stack AI Engineer (Agentic Systems) - Remote - USA

FullStack Labs

Richmond, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone who doesn't just build, but defines the architecture of how global enterprises adopt agentic workflows. You will serve as a strategic consultant and technical lead, helping regulated industries and Fortune 500 clients transition from traditional development to AI-augmented engineering productivity.
What We Are Looking For
  • 5+ years of professional full-stack software engineering experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Expertise in building agentic AI workflows and autonomous AI systems.
  • Hands-on experience utilizing Claude Code and modern LLM platforms (Anthropic Claude, OpenAI).
  • Strong history of developing AI-powered web applications using React, Next.js, JavaScript, and TypeScript.
  • Extensive experience building backend services and APIs with Node.js or Python.
  • Track record of productizing early-stage Generative AI prototypes into scalable, production-ready MVPs.
  • Solid understanding of cloud-based architectures on AWS and containerization tools such as Docker.
  • Well-versed in database management systems, including PostgreSQL and MongoDB.
  • Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks.
  • Capable of working with GraphQL, microservices, or event-driven systems in fast-paced environments.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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