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Llm Engineer Jobs in Washington (NOW HIRING)

AI Security & LLM Engineer

Reston, VA · On-site

$170 - $250/hr

Description of Task to be Performed The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between ...

The AI Security & LLM Engineer willdesign, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous ...

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous ...

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous ...

Job Overview As a Senior ML Engineer (LLM Systems) at Cynnovative, you will be responsible for developing and managing tools that facilitate LLM experimentation and deployment. This role is crucial ...

LLM Specialist

Columbia, MD · On-site +1

$93K - $100K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... The LLM Specialist will drive the design, development, and operationalization of advanced large ...

LLM Specialist

Mclean, VA

$16.50 - $21.75/hr

The LLM Specialist serves as PenFed's subject matter expert for Large Language Models (LLMs ... Collaborate with AI Engineers and solution teams to ensure effective deployment and adoption of AI ...

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Llm Engineer information

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How much do llm engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for llm engineer in Washington is $60.74, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $70.53 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

What are the key skills and qualifications needed to thrive as an LLM engineer?

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can earn higher salaries, often exceeding $200,000 with bonuses and stock options.

What are the most commonly searched types of Llm Engineer jobs in Washington?

The most popular types of Llm Engineer jobs in Washington are:

What are popular job titles related to Llm Engineer jobs in Washington?

For Llm Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Llm Engineer jobs in Washington look for?

The top searched job categories for Llm Engineer jobs in Washington are:

What cities in Washington are hiring for Llm Engineer jobs?

Cities in Washington with the most Llm Engineer job openings:

Infographic showing various Llm Engineer job openings in Washington as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,344 per year, or $60.7 per hour.

LLM Engineer/ AI/ML Engineer

Mclean, VA • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Pyramid Consulting, Inc. is a leading company in the financial industry, and they are seeking a talented LLM Engineer/ AI/ML Engineer. The role involves designing, fine-tuning, and deploying Large Language Model solutions for various business use cases.
Responsibilities:
• Design, fine-tune, and deploy Large Language Model (LLM) solutions for business use cases.
• Integrate LLMs with applications using frameworks like LangChain.
• Implement prompt engineering and model optimization techniques.
• Evaluate model performance and continuously improve accuracy, speed, and cost efficiency.
• Stay current with advancements in Generative AI, LLM frameworks, and emerging tools.
Qualifications:
Required:
• Key skills; LLM, Gen AI, LangChain
• Design, fine-tune, and deploy Large Language Model (LLM) solutions for business use cases.
• Integrate LLMs with applications using frameworks like LangChain.
• Implement prompt engineering and model optimization techniques.
• Evaluate model performance and continuously improve accuracy, speed, and cost efficiency.
• Stay current with advancements in Generative AI, LLM frameworks, and emerging tools.
Company:
Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Founded in 1996, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.