ZipRecruiter

Log In

1

Nlp Engineer Jobs in Virginia (NOW HIRING)

Jobtailor

AI-Native Software Engineer

Arlington, VA · On-site

$140 - $190/hr

Mentor engineering teams on effective use of generative AI in development workflows * Integrate AI ... Develop Intelligent Data Processing and NLP Pipelines * Deliver AI-Enabled Dashboards, Interfaces ...

RIT Solutions, Inc.

AI Engineer

Vienna, VA · On-site

The role involves analyzing graph-structured data, building NLP pipelines, and collaborating with ... ML engineering efforts by developing, testing, and deploying data-driven models and services • ...

Jobtailor

Lead Software Engineer - AI

Reston, VA · On-site

$140 - $210/hr

Knowledge of core AI domains such as NLP, recommendation systems, or time series modeling ... Software Engineering * AI/ML Systems * Python * Go * NLP * Recommendation Systems * Time Series ...

Dark Wolf Solutions

AI Software Engineer

Chantilly, VA · Remote

$120K - $160K/yr

Build NLP-driven tasking models to ingest natural language inquiries, query underlying enterprise ... Collaborate with UI/UX and data engineers to build interactive, role-based dashboards enabling ...

New

Dark Wolf Solutions

AI Software Engineer

Chantilly, VA · Remote

$120K - $160K/yr

Build NLP-driven tasking models to ingest natural language inquiries, query underlying enterprise ... Collaborate with UI/UX and data engineers to build interactive, role-based dashboards enabling ...

New

Dark Wolf Solutions

AI Software Engineer

Herndon, VA · On-site

$120K - $160K/yr

Build NLP-driven tasking models to ingest natural language inquiries, query underlying enterprise ... Collaborate with UI/UX and data engineers to build interactive, role-based dashboards enabling ...

Booz Allen Hamilton

Senior AI/ML Engineer

Alexandria, VA · On-site

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern sof tware engineering practices, consistent with the company's AI / ML engineering role ...

Phase2 Technology

AI/ML Engineer, Senior

Alexandria, VA · On-site

$99 - $225/hr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision, and modern sof tware engineering practices, consistent with the company's AI/ML engineering role ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Alexandria, VA · Hybrid

$99K - $225K/yr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

Phase2 Technology

AI/ML Engineer, Senior

Springfield, VA · On-site

$99 - $225/hr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision, and modern sof tware engineering practices, consistent with the company's AI/ML engineering role ...

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

Background in NLP, computer vision, or other advanced AI techniques. * Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud). Required qualifications: * Strong programming skills in ...

Torch.AI

AI/ML Engineer II

Mclean, VA · On-site

$120 - $160/hr

Collaborate with data engineering and backend teams to integrate ML capabilities into scalable ... Familiarity with modern ML/NLP libraries (Transformers, spaCy, scikit‑learn, PyTorch). * Exposure ...

New

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly ... Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries ...

previous pagenext page

Showing results 21-40

All JobsNlp Engineer JobsNlp Engineer Jobs in Virginia

Nlp Engineer information

See Virginia salary details

$36.2K

$106.4K

$136.3K

How much do nlp engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for nlp engineer in Virginia is $106,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.

What are the most commonly searched types of Nlp Engineer jobs in Virginia?

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

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

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

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

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

Nlp Engineer jobs near you
Infographic showing various Nlp 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 $106,361 per year, or $51.1 per hour.

AI-Native Software Engineer

Jobtailor

Arlington, VA • On-site

$140 - $190/hr

Other

Posted 5 days ago

Job description

  • Use generative AI tools (LLM copilots, autonomous coding agents, AI test generators) as a core part of daily software engineering workflows
  • Demonstrate and share AI-enabled engineering techniques that improve team productivity and software quality
  • Help define and evolve AI-augmented engineering standards, patterns, and best practices
  • Prototype and evaluate emerging AI developer tooling (agent frameworks, code copilots, automated testing agents)
  • Mentor engineering teams on effective use of generative AI in development workflows
  • Integrate AI Components into Complex DoW Software Environments
  • Integrate AI models and services into mission-critical software systems.
  • Develop Intelligent Data Processing and NLP Pipelines
  • Deliver AI-Enabled Dashboards, Interfaces, and Insights
  • Help identify areas of the software lifecycle that can be accelerated through generative AI and automation.
Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent full-time professional experience.
  • 5-7 years of full-time professional experience
  • Ability to travel up to 10% of the time, as needed
  • Demonstrated curiosity and experimentation with emerging AI technologies and engineering practices.
  • Daily use of generative AI coding tools such as GitHub Copilot, Cursor, Codeium, ChatGPT, Claude, or similar systems
  • Experience using LLMs for code generation, debugging, test generation, and documentation automation
  • Familiarity with agent-based development workflows and AI-assisted engineering environments
  • Experience designing prompt workflows or system prompts to improve developer productivity
  • Ability to critically evaluate AI-generated code for correctness, security, and performance
  • Strong understanding of AI concepts and practical deployment patterns
  • Demonstrated ability to scope requirements for engineering solutions that meet business challenges using AI with measurable outcomes
  • Experience in engineering solutions that integrate AI models into production workflows to improve User Experience and productivity
  • Understanding of security and compliance considerations when implementing AI solutions, especially in sensitive or classified environments, to support multiple deployment environments
  • Understanding of secure software development practices and AI-specific security risks as they pertain to a full SDLC
  • Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently
  • Strong communication skills - ability to collaborate and explain complex concepts to diverse audiences, and synthesize details into actionable recommendations and implementations
  • Cross-functional collaboration - builds strong relationships across engineering, security, compliance, etc.
Core Competencies

Demonstrates expertise in integrating generative AI tools into software engineering workflows, enhancing productivity and software quality through AI-augmented engineering practices. Proficient in developing intelligent data processing and NLP pipelines while ensuring compliance and security in AI implementations.

Highest-signal resume keywords
  • Generative AI Tool Integration
  • AI-Enabled Engineering Techniques
  • NLP Pipeline Development
  • AI Model Deployment
  • Prompt Workflow Design
ATS Optimization KeywordsHard Skills
  • Generative AI Coding Tools
  • LLM Code Generation
  • AI Test Generation
  • Debugging Automation
  • AI Component Integration
  • Data Processing
  • AI Security Practices
  • Software Development Lifecycle
  • AI-Assisted Engineering
  • Agent-Based Development
Soft Skills
  • Strong Problem-Solving Skills
  • Effective Communication
  • Cross-Functional Collaboration
  • Mentoring Engineering Teams
  • Curiosity and Experimentation
Industry Keywords
  • AI-Augmented Engineering Standards
  • Software Quality Improvement
  • User Experience Enhancement
  • Security and Compliance Considerations
  • Production Workflow Integration
Tools & Technologies
  • GitHub Copilot
  • Cursor
  • Codeium
  • ChatGPT
  • Claude
  • AI Test Generators
  • AI Developer Tooling
  • Automated Testing Agents
  • AI Dashboards
  • AI Interfaces
#J-18808-Ljbffr

Apply