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Natural Language Processing Engineer Jobs in Texas

Programming Languages: Python, Pandas, NumPy, Scikitlearn, SQL * Statistical Modeling: Machine ... Experience with Natural Language Processing (NLP) * Familiarity with geospatial data and mapping ...

Programming Languages: Python, Pandas, NumPy, Scikitlearn, SQL * Statistical Modeling: Machine ... Experience with Natural Language Processing (NLP) * Familiarity with geospatial data and mapping ...

Experience with natural language processing (NLP) and machine learning concepts. * Familiarity with RESTful APIs and web services. * Knowledge of other front-end frameworks (e.g., Angular, Vue.js) is ...

Experience with natural language processing (NLP) and machine learning concepts. * Familiarity with RESTful APIs and web services. * Knowledge of other front-end frameworks (e.g., Angular, Vue.js) is ...

Kore.AI developer with React JS - TX

Addison, TX · On-site

$100K - $117K/yr

Experience with natural language processing (NLP) and machine learning concepts. * Familiarity with RESTful APIs and web services. * Knowledge of other front-end frameworks (e.g., Angular, Vue.js) is ...

Programming languages: Python (proficient) with major ML libraries * Experience with opensource Gen ... deep learning, natural language processing, and computer vision, tailored to specific needs

IT - AI/ML Engineer 2

Austin, TX · On-site

$85.94 - $90.72/hr

Enter ... The main function of an AI/ML engineer is to design, develop, and implement artificial ... or natural language processing. Experience with big data technologies such as Hadoop, Spark, or ...

Principal Software Engineer

Westlake, TX · On-site

$129K - $173K/yr

... natural language interfaces, document processing, automated insights) Build AI experimentation frameworks and A/B testing infrastructure Lead Through Example Define the long-term AI strategy and ...

Angular Developer

Irving, TX · On-site

$55 - $65/hr

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

Principal Software Engineer

Westlake, TX

$129K - $173K/yr

... natural language interfaces, document processing, automated insights) Build AI experimentation frameworks and A/B testing infrastructure Lead Through Example Define the long-term AI strategy and ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

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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 10, 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.

AI/ML Application Developer (F2F Interview in Dallas, TX & Charlotte, NC)

Saransh Inc

Dallas, TX • On-site

Contractor

Posted 18 days ago


Job description

Role: AI/ML Application Developer
Location: Dallas, TX (work from office in Hybrid mode)
Job Type: Contract
 
Note: In-person interview mandate available over Dallas, TX and Charlotte, NC
 
Required Skills:
  • GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK.
  • Should be very well versed in deployment process too.
 
Responsibilities:
  • Oversee the integration of Agentic AI and Prompt Engineering into existing systems to improve efficiency and functionality.
  • Provide expertise in Natural Language Processing (NLP) to develop advanced language models and applications.
  • Collaborate with cross-functional teams to leverage LLMs - Open Sources for innovative solutions and improvements.
  • Utilize Langchain to streamline processes and optimize system performance.
  • Ensure the delivery of high-quality software solutions that meet client requirements and industry standards.
  • Conduct thorough testing and debugging of applications to ensure reliability and performance.
  • Mentor and guide junior team members to foster a collaborative and productive work environment.
  • Analyze project requirements and design scalable and efficient software architectures.
  • Contribute to the continuous improvement of development processes and methodologies.
  • Communicate effectively with stakeholders to understand project goals and deliverables.
  • Drive the adoption of best practices in software development and project management.
 
Qualifications:
  • Possess strong knowledge of Agentic AI and its applications in software development.
  • Exhibit expertise in Prompt Engineering and its integration into complex systems
  • Have a solid understanding of NLP techniques and their practical implementations.
  • Show experience with LLMs - Open Sources and their utilization in innovative projects.
  • Display familiarity with Langchain and its role in optimizing workflows.
  • Hold a degree in Computer Science, Engineering, or a related field.