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Natural Language Processing Engineer Jobs in Texas

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

Senior AI Engineer

Coppell, TX · On-site

$96K - $132K/yr

JOB SUMMARY Seeking a Sr. AI Engineer with deep expertise in building AI-driven and agentic ... for Natural Language Processing (NLP). • Understand multi-agent system collaboration and ...

... Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. * Experience Requirements: 8-10 years of experience in ...

You will collaborate with cross-functional teams including developers, UX designers, and product ... Stay updated with advancements in conversational design, natural language processing, and AI ...

You will collaborate with cross-functional teams including developers, UX designers, and product ... Stay updated with advancements in conversational design, natural language processing, and AI ...

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Showing results 1-20

Natural Language Processing Engineer information

See Texas salary details

$46.1K

$85.7K

$132.8K

How much do natural language processing engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for natural language processing engineer in Texas is $85,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $96,000.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Natural Language Processing Engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a Natural Language Processing Engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What are the key skills and qualifications needed to thrive in the Natural Language Processing Engineer position, and why are they important?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Texas? The most popular types of Natural Language Processing Engineer jobs in Texas are:
What job categories do people searching Natural Language Processing Engineer jobs in Texas look for? The top searched job categories for Natural Language Processing Engineer jobs in Texas are:
What cities in Texas are hiring for Natural Language Processing Engineer jobs? Cities in Texas with the most Natural Language Processing Engineer job openings:
Infographic showing various Natural Language Processing Engineer job openings in Texas as of June 2026, with employment types broken down into 61% Full Time, 32% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $85,729 per year, or $41.2 per hour.
Gen AI Engineer -McKinney, TX

Gen AI Engineer -McKinney, TX

Photon

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Job Description
Responsibilities
  • Conduct extensive research to identify and curate relevant data sources for prompt development.
  • Analyze, design, develop, and refine diverse prompts tailored to specific AI tasks and applications.
  • Ensure the prompts are intuitive for a productive conversation to elicit desired responses and achieve outcomes.
  • Optimize AI prompt generation process to enhance overall system performance.
  • Integrate prompt designs into natural language processing (NLP) models.
  • Ensure seamless integration of prompt engineering strategies into existing AI systems.
  • Develop and maintain RESTful APIs using Python and relevant frameworks (e.g., Django, Flask).
  • Design, develop, and maintain user interfaces using React and related technologies (e.g., Redux, Next.js).
  • Conduct thorough evaluations of prompt effectiveness through data analysis and user feedback.
  • Iterate on prompt designs based on performance metrics, aiming for continual improvement in conversational capabilities.
  • Develop and maintain quantitative key performance indicators to evaluate the effectiveness of AI prompts. Draft and distribute reports on prompt performance to identify areas for improvement.
  • Work closely with UX/UI designers, product managers, and other stakeholders to align prompt design with user experience goals and overall project objectives.
  • Stay ahead of AI advancements, natural language processing, and machine learning to apply to our business objectives proactively.
  • Document prompt design strategies, methodologies, and outcomes for internal reference and knowledge sharing.
  • Communicate effectively with team members and stakeholders, presenting findings and recommendations related to prompt engineering.
  • Collaborate with business stakeholders, product team, and developers to understand use cases, project requirements, and objectives.
  • Collaborate with content creators, product teams, and data scientists to ensure prompt accuracy and alignment with company goals and user needs.

Requirements
  • Bachelor's degree, preferred in computer science, engineering, or a related field. Master's degree preferred.
  • 3+ years of experience in software development with Proficiency in programming languages such as Python, Java, or similar is essential for implementing and integrating prompt engineering solutions into existing AI systems.
  • 2+ years developing applications using AI, natural language processing, and speech recognition.
  • Experience with Python and at least one Python web framework (e.g., Django, Flask).
  • Experience with RESTful APIs and API integration.
  • Skills in data analysis and statistical methods are valuable for assessing the performance of prompts, analyzing user interactions, and making informed adjustments to enhance the overall system.
  • Comprehensive understanding of natural language processing techniques and tools, machine learning Principles, and AI-generated content development
  • Conversational AI experience: Any of the following would be good: Kore.AI, Google Dialog Flow, Amelia, Yellow.AI
  • Familiarity with popular conversational AI platforms and frameworks (e.g., TensorFlow, PyTorch, or Hugging Face Transformers) is beneficial for leveraging pre-trained models and integrating prompt engineering strategies effectively.
  • Proven work experience as a Prompt Engineer or similar role
  • High-level familiarity with architecture and operation of large language models
  • Exceptional verbal and written communication skills for effective prompt design and collaboration with users, engineers, and product teams
  • Experience in creative writing or content creation is a plus.

Compensation, Benefits and Duration
Minimum Compensation: USD 42,000
Maximum Compensation: USD 147,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post