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Llm Engineer Jobs in Virginia (NOW HIRING)

shrm

AI/Synthetic Engineer

Alexandria, VA · Hybrid

$110K - $135K/yr

Seven (7) or more years in ML/LLM engineering or applied data science, including production systems. * Hands-on experience with LLM application development: grounding/RAG, prompt engineering, and ...

SHRM

AI/Synthetic Engineer

Alexandria, VA · Hybrid

$110K - $135K/yr

Seven (7) or more years in ML/LLM engineering or applied data science, including production systems. * Hands-on experience with LLM application development: grounding/RAG, prompt engineering, and ...

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$25

$53

$76

How much do llm engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for llm engineer in Virginia is $53.17, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $61.73 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 Virginia?

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

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

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

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

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

What cities in Virginia are hiring for Llm Engineer jobs?

Cities in Virginia with the most Llm Engineer job openings:

Llm Engineer jobs near you
Infographic showing various Llm Engineer job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $110,595 per year, or $53.2 per hour.

Full Stack Developer with Documentum (AI/LLM Expertise)

Kanak Elite Services Inc

Reston, VA • On-site

Contractor

Re-posted 14 days ago

Job description

Hello There,

Wish you a Happy Thursday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

NOW HIRING: FULL STACK DEVELOPER WITH DOCUMENTUM (AI/LLM EXPERTISE)

LOCATION: RESTON, VA (LOCALS ONLY)

We’re seeking an experienced Full Stack Developer with deep expertise in AI (Artificial Intelligence), LLM (Large Language Models), and ECM (Enterprise Content Management) — preferably with hands-on experience in Documentum.

The ideal candidate will bring a strong background in Java, Python, modern front-end frameworks, and AWS, along with a solid understanding of software architecture, APIs, and ECM integrations.

Key Responsibilities:

  • Design, develop, and deploy full-stack applications using Java, Python, and React/Angular.
  • Integrate and enhance Enterprise Content Management (ECM) platforms — preferably Documentum.
  • Develop and integrate RESTful APIs using Java/Spring frameworks.
  • Work with LLM models — evaluate, fine-tune, and integrate with ECM systems.
  • Implement prompt engineering, data preprocessing, and AI/ML-based content solutions.
  • Collaborate with cross-functional teams to ensure scalable, secure, and efficient software delivery.
  • Manage CI/CD pipelines and development tools (Git, Jenkins, Jira, IntelliJ, Tomcat/J2EE).
  • Work within Agile/Scrum practices, participating in sprint planning, reviews, and retrospectives.
  • Leverage AWS cloud services (EC2, ECS, RDS, SQS, SNS, Lambda, Textract, Bedrock).
  • Conduct performance testing, code reviews, and implement DevSecOps best practices.

Required Skills & Experience:

  • 7+ years of experience in full-stack development.
  • Strong proficiency in Java and Python.
  • Front-end development with React or Angular.
  • Hands-on with Documentum or similar ECM systems.
  • Deep understanding of REST APIs, Spring Boot, and microservices architecture.
  • Experience with data modeling, PostgreSQL, MongoDB, or DynamoDB.
  • Experience with AWS Cloud (3+ years) — EC2, ECS, RDS, SQS, SNS, Lambda, etc.
  • Working knowledge of LLM models, prompt engineering, and AI data pipelines.
  • Strong grasp of software design patterns, code quality, and security practices.

 Preferred Certifications:

  • AWS Certified Developer or Architect
  • Documentum Certification
  • Java Certification (Oracle or equivalent)