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Remote Generative Ai Engineer Jobs in Silver Spring, MD

InterImage

Software Engineer

Arlington, VA · On-site +1

This role is ideal for candidates who are passionate about software engineering, curious about Generative AI, and eager to help modernize how technology supports national security and operational ...

Promise

Software Engineer - AI

Washington, DC · Remote

$150K - $215K/yr

As a Software Engineer - AI, you'll design and deliver end-to-end generative AI and large language model (LLM) applications that directly power this mission. You'll build AI pipelines and ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

... generative AI. Requirements Required Qualifications: * All candidates must pass public trust ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0-10% RESULTS. INNOVATION. VALUES.

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

Location: Vienna VA (We will consider Remote candidates within US Mainland on EST) Required ... Develop intelligent applications leveraging LLMs, generative AI, and NLP technologies * Create and ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · On-site +1

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application ...

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All JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Silver Spring, MD

Remote Generative Ai Engineer information

See Silver Spring, MD salary details

$39.3K

$119.8K

$198K

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

As of Jul 4, 2026, the average yearly pay for remote generative ai engineer in Silver Spring, MD is $119,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $156,600.00 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, 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 job categories do people searching Remote Generative Ai Engineer jobs in Silver Spring, MD look for? The top searched job categories for Remote Generative Ai Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Generative Ai Engineer jobs? Cities near Silver Spring, MD with the most Remote Generative Ai Engineer job openings:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Silver Spring, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $119,778 per year, or $57.6 per hour.
Software Engineer

Software Engineer

InterImage

Arlington, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

We are seeking a motivated and innovative Software Engineer to support the development of next-generation AI-enabled solutions for mission-driven environments across the Department of Defense and other federal initiatives. This role is ideal for candidates who are passionate about software engineering, curious about Generative AI, and eager to help modernize how technology supports national security and operational effectiveness.
You do not need to be an AI expert to succeed in this role. We are looking for engineers with strong technical foundations, problem-solving ability, and a willingness to learn emerging technologies in a fast-paced environment.
This position offers the opportunity to work alongside experienced engineers, architects, and mission stakeholders to explore and implement Generative AI capabilities that improve automation, data analysis, decision support, and product innovation.
Salary: 85,000 - 130,000
Key Responsibilities
  • Support the design, development, testing, and deployment of modern software applications and AI-enabled tools
  • Assist with integrating Generative AI technologies into internal and customer-facing products
  • Collaborate with cross-functional engineering teams to prototype emerging capabilities
  • Develop APIs, automation workflows, and scalable backend services
  • Participate in Agile software development activities including sprint planning, standups, and code reviews
  • Research and evaluate new AI/ML frameworks, tools, and technologies
  • Contribute to cloud-native and containerized development environments
  • Help document technical solutions, system architecture, and development processes
  • Support continuous improvement initiatives focused on modernization and innovation

What Makes This Opportunity Different
  • Work on meaningful technologies supporting mission modernization
  • Gain hands-on exposure to cutting-edge Generative AI capabilities and real-world applications
  • Join a growing engineering environment focused on innovation, modernization, and emerging technology adoption
  • Collaborate with experienced technical leaders and mentors invested in your growth
  • Opportunity to help shape the future of AI-enabled federal solutions from the ground floor

Requirements
Basic Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Cybersecurity, Mathematics, or related technical field
  • Internship, academic project, research, or personal project experience in software development
  • Strong analytical and problem-solving skills
  • Desire to learn and adapt to emerging technologies, particularly Generative AI
  • Ability to work effectively within a collaborative team environment
  • Strong written and verbal communication skills
  • Active US Security Clearance - TS

Desired Technical Exposure
Experience or familiarity with some of the following is preferred:
  • Python, Java, JavaScript, or Go
  • REST APIs and microservices
  • Git/GitLab/GitHub version control
  • Cloud environments such as AWS or Azure
  • Docker, Kubernetes, or containerized development
  • Frontend frameworks such as React or Angular
  • Data processing and automation scripting
  • AI/ML concepts or exposure to tools such as OpenAI APIs, LangChain, vector databases, or LLM integrations
  • CI/CD pipelines and DevSecOps practices

Benefits
  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available

InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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