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Remote Generative Ai Engineer Jobs in Washington

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

... Generative AI and Natural Language Programming (NLP) to support the Federal Government on several remote assignments. Our objective is to identify qualified and interested prospects so that we are ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Work closely with ML Engineers and Software Developers to transition models from a research and ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

... Generative AI technologies to help drive innovation across federal environments. Your focus will ... This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

$160K - $180K/yr

... Generative AI technologies to help drive innovation across federal environments. Your focus will ... This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Work closely with ML Engineers and Software Developers to transition models from a research and ...

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

Generative AI and internal business applications * Intelligent search, retrieval, and summarization ... Remote * Must be a U.S. citizen and physically located in the United States * Small, collaborative ...

Accenture Federal Services

GenAI Engineer

Washington, DC · On-site +1

Seeking a Generative AI Engineer with the technical acumen and problem-solving ability to identify and develop new opportunities for the use of AI agents to solve real-world mission-critical problems ...

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241255 Location: Arlington,VA,US Share job via: Share AI Engineer ... Experience with open-source AI projects such as Ollama or personal projects using generative AI

NuAxis Innovations

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

We are currently seeking a talented and motivated Senior AI Developer for a remote federal program ... using Generative AI, Large Language Models (LLMs), Machine Learning (ML), Natural Language ...

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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 Washington? The most popular types of Generative Ai Engineer jobs in Washington are:
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What job categories do people searching Remote Generative Ai Engineer jobs in Washington look for? The top searched job categories for Remote Generative Ai Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Generative Ai Engineer jobs? Cities in Washington 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 Washington as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Large Language Model (LLM) AI Engineer

Large Language Model (LLM) AI Engineer

Oran, Inc.

Herndon, VA • On-site, Remote

Full-time

Posted 23 days ago

Job description

Experience Required
7+ Years Overall | 3+ Years in Generative AI / LLMs
Position Overview
We are seeking a Large Language Model (LLM) AI Engineer to design, fine-tune, evaluate, and integrate generative AI and LLM-based solutions in healthcare, scientific, and regulated environments. The ideal candidate will possess expertise in modern AI architectures, vector databases, prompt engineering, and AI governance.
Key Responsibilities
  • Design and implement generative AI and LLM solutions.
  • Fine-tune and evaluate foundation models.
  • Develop AI workflows using agentic AI frameworks.
  • Build RAG architectures and vector database integrations.
  • Develop APIs and cloud-native AI solutions.
  • Implement hallucination mitigation and AI governance controls.

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