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Language Model Jobs in Denton, TX (NOW HIRING)

Deloitte

Customer Deployment Specialist

Dallas, TX · On-site

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Aquent

Java Developer

Southlake, TX · On-site

$60 - $66.67/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Implement and deploy AI, machine learning, and Large Language Model-enabled solutions in production environments. * Develop agentic and specification-driven workflows that translate class structures ...

STAND 8

Product Owner (AI & Prompt Strategy)

Carrollton, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Strong understanding of large language models, retrieval-augmented generation, AI orchestration, vector databases, and automated evaluation methods. * Experience defining product strategy, roadmaps ...

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All JobsLanguage Model JobsLanguage Model Jobs in Denton, TX

Language Model information

See Denton, TX salary details

$9

$29

$62

How much do language model jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for language model in Denton, TX is $29.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $36.73 per hour, depending on experience, location, and employer.

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What cities near Denton, TX are hiring for Language Model jobs?

Cities near Denton, TX with the most Language Model job openings:

Language Model jobs near you

W2 AI Engineer (NO C2C)

Inabia Solutions and Consulting, Inc.

Grand Prairie, TX • On-site

Full-time

Posted 12 days ago

Job description

Overview
Inabia is seeking an AI Engineer to design, build, and deploy advanced large language model solutions and retrieval-augmented generation (RAG) pipelines integrated into enterprise cloud environments. This role demands deep hands-on expertise in leading LLM frameworks alongside the communication skills necessary to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. Candidates with manufacturing domain experience are strongly encouraged to apply.
Responsibilities
  • Architect end-to-end RAG pipelines leveraging Hugging Face, LangChain, and OpenAI API to solve enterprise-scale challenges.
  • Integrate generative AI capabilities into existing enterprise cloud environments and data infrastructure.
  • Develop, fine-tune, and evaluate large language models for domain-specific use cases.
  • Write production-quality code in Python, R, and SQL to support data ingestion, model serving, and analytics workflows.
  • Translate complex model outputs and analytical findings into clear, actionable recommendations for operational and executive stakeholders.
  • Collaborate cross-functionally with engineering, operations, and leadership teams to identify and prioritize high-impact AI use cases.
  • Monitor model performance, troubleshoot issues, and continuously improve pipeline reliability and accuracy.
  • Document architectures, methodologies, and outcomes to support knowledge transfer and reproducibility.

Key Qualifications
  • 5+ years of experience as an AI/ML Engineer (exceptional candidates with more experience are equally welcome).
  • Hands-on proficiency with LLM/AI frameworks: Hugging Face, LangChain, and OpenAI API.
  • Demonstrated experience architecting and deploying RAG pipelines in production environments.
  • Strong programming skills in Python, R, and SQL.
  • Proven ability to communicate technical concepts and model results to non-technical operations and executive audiences.
  • Experience integrating AI solutions into enterprise cloud platforms.

Preferred Qualifications
  • 2-4 years of experience working in a manufacturing domain.
  • Familiarity with shop floor operations, production planning, and systems such as MES, SCADA, and ERP.
  • Proficiency in industrial communication protocols (OPC-UA, MQTT, Modbus) with demonstrated ability to bridge OT/IT systems for real-time data extraction.
  • Applied experience with OEE, Six Sigma, SPC, and lean manufacturing methodologies to drive measurable improvements in yield, uptime, and operational efficiency.

Apply