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Nlp Developer Jobs in Texas (NOW HIRING)

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

Sr Data Scientist GenAI

Dallas, TX ยท On-site

$150K - $210K/yr

... NLP, GenAI practices, prompt engineering, fine-tuning. - Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

TX ยท On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

Showing results 41-60

Nlp Developer information

See Texas salary details

$15

$49

$76

How much do nlp developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for nlp developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What does an NLP developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

What are the key skills and qualifications needed to thrive as an NLP developer?

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.

What are some common challenges faced by NLP developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.
Infographic showing various Nlp Developer job openings in Texas as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

Generative AI Engineer

PB consulting

Irving, TX โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.

Roles and Responsibilities
  • Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.

  • Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.

  • Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.

  • Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

  • Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.

  • Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.

  • Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.

  • Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.

  • Participate in model testing, deployment, monitoring, and continuous improvement.

  • Contribute to AI best practices, technical documentation, and knowledge sharing across teams.

Required Skills
  • Strong proficiency in Python with major machine learning and deep learning libraries.

  • Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.

  • Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.

  • Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).

  • Experience with data preprocessing, feature engineering, SQL, and data manipulation.

  • Familiarity with AI model evaluation, optimization, and hyperparameter tuning.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills
  • Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).

  • Experience developing AI applications in both on-premises and cloud environments.

  • Knowledge of CI/CD pipelines and AI application deployment practices.

  • Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

  • Experience designing, developing, and deploying enterprise AI or Generative AI solutions.

  • Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.