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Language Model Jobs in Texas (NOW HIRING)

The ideal candidate will have advanced working knowledge of data analytics, modern machine learning algorithms, foundation models, large language models, vision-language models, small language models ...

Large Language Model evaluation, adaptation, and integration * Retrieval-augmented generation and semantic search * Knowledge graph and GraphRAG-based approaches for connecting structured business ...

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

Create and deploy AI-enabled applications using large language models and modern generative AI platforms. * Develop autonomous and multi-agent solutions capable of using tools, retrieving information ...

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

Create and deploy AI-enabled applications using large language models and modern generative AI platforms. * Develop autonomous and multi-agent solutions capable of using tools, retrieving information ...

Developing innovative ML and large language model applications to understand, explain, and interact with EDA (electronic design automation) software. * Designing and implementing their interaction ...

Developing innovative ML and large language model applications to understand, explain, and interact with EDA (electronic design automation) software. Designing and implementing their interaction with ...

You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration. This role combines deep ...

Developing innovative ML and large language model applications to understand, explain, and interact with EDA (electronic design automation) software. Designing and implementing their interaction with ...

The Model Maker 1 responsibilities include but are not limited to fabricating prototypes parts from ... language use restrictions), citizenship, uniform service member or veteran status, ancestry ...

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Language Model information

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 in Texas are hiring for Language Model jobs?

Cities in Texas with the most Language Model job openings:

Infographic showing various Language Model job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

LLM Optimization & Evaluation

Info Way Solutions

Austin, TX • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Info Way Solutions is seeking a highly skilled LLM Optimization & Evaluation Specialist to design, optimize, and evaluate large language model systems in production. This role focuses on prompt optimization, RAG tuning, inference efficiency, and modern evaluation frameworks to ensure high-quality, scalable, and cost-effective GenAI solutions.
Qualifications:
Required:
• highly skilled LLM Optimization & Evaluation Specialist
• design, optimize, and evaluate large language model (LLM) systems in production
• prompt optimization
• RAG tuning
• inference efficiency
• modern evaluation frameworks
• hands-on experience with LLM-as-a-Judge evaluators
• hands-on experience with RAG pipelines
• hands-on experience with observability
• hands-on experience with enterprise-grade GenAI systems
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.