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Python Llm Jobs in Houston, TX (NOW HIRING)

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Familiarity with GraphRAG and LLM-as-a-judge architectures. * Predictive Analytics: * Expertise in ... Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn). * Cloud (AWS) and containerization ...

Principal AI/ML Software Engineer

Houston, TX · On-site

$124K - $167K/yr

Proficiency with Tableau, Power BI, or Python visualization libraries Experience & Education • 5+ ... LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training • ...

AI & HPC Infrastructure Engineer

Houston, TX · On-site

$102K - $134K/yr

... Python and modern API patterns such as REST, OpenAPI, JSON/YAML schemas, webhooks, and event-driven integrations. * Experience designing and implementing agentic AI infrastructure, including LLM ...

Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning . * Strong proficiency in Python and ML frameworks ( PyTorch, TensorFlow, Hugging ...

Required Skills & ExperienceTechnical ExpertiseHands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.Strong proficiency in Python and ML ...

Design and implement AI-drivenautomation, agentic workflows, and LLM-based solutions . * Develop backend servicesusing C# / .NET Core and Python . * Build and integrate RESTAPIs, cloud services, and ...

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

... Python for scripting, data manipulation, and automation. • Strong command of SQL for querying, transforming, and joining relational data. • Experience with LLM tools and frameworks such as ...

AI Security Engineer

Houston, TX · On-site

$109K - $149K/yr

Proven ability to build and implement solutions in AI/ML or LLM-based systems and backend services. * Strong programming skills in Python with experience in ML/AI frameworks like TensorFlow, PyTorch ...

Data & AI Engineer

Houston, TX

$110K - $133K/yr

Proficiency in Python for scripting, data manipulation, and automation. * Strong command of SQL for querying, transforming, and joining relational data. * Experience with LLM tools and frameworks ...

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

Python, cloud data warehouse experience (e.g., Snowflake, Synapse), Spark SQL * Performance tuning, partitioning, and optimization. * Modern LLM architectures and GenAI frameworks - retrieval ...

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Develop robust evaluation frameworks for both ML models and LLM-based systems * Design and ... Strong proficiency in Python and production-grade development practices preferred * Proven ...

... LLM-assisted development tools (Python, SQL). Success in this role requires understanding the finance and accounting logic behind what you build, not just writing code, and owning that code through ...

... LLM-powered applications. * Experience developing full-stack applications using modern web technologies and APIs. * Strong proficiency in Python and experience with modern frontend frameworks such as ...

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

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Python Llm information

See Houston, TX salary details

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How much do python llm jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python llm in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are the most commonly searched types of Python Llm jobs in Houston, TX? The most popular types of Python Llm jobs in Houston, TX are:
What job categories do people searching Python Llm jobs in Houston, TX look for? The top searched job categories for Python Llm jobs in Houston, TX are:
What cities near Houston, TX are hiring for Python Llm jobs? Cities near Houston, TX with the most Python Llm job openings:

Senior Machine Learning Engineer

Beth Page tech

Houston, TX • On-site

$99K - $137K/yr

Contractor

Posted 19 days ago


Job description

Job Title: Senior Machine Learning Engineer

Location: Houston, TX

Environment: Standard, 5-days onsite

Job Description :

 

Must-Have (Technical Expertise & Core Responsibilities)

  • Deep Neural Networks (DNN):
    • Hands-on experience with CNN, RNN, Graph Neural Networks, and transformers.
    • Proficiency in hyperparameter optimization, autoencoders, model evaluation, and error metrics.
  • Generative AI:
    • Strong knowledge of LLMs (BERT, GPT, etc.), embeddings, and supervised fine-tuning.
    • Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI.
    • Familiarity with GraphRAG and LLM-as-a-judge architectures.
  • Predictive Analytics:
    • Expertise in classification, regression, anomaly detection, and sequence modeling.
    • Practical application of NLP techniques (sentiment analysis, entity recognition) and knowledge graphs.

Core Responsibilities:

  • Design, train, and optimize DNN and generative models for real-world business problems.
  • Implement LLM-based solutions (fine-tuning, RAG, agents) to enhance decision-making.
  • Develop predictive models for trading, risk assessment, and operational efficiency.
  • Collaborate with teams to integrate AI/ML solutions into production systems.
  • Rigorously evaluate models using appropriate metrics and error analysis.

Qualifications & Skills:

  • Master’s/Ph.D. in Computer Science, ML, or related field.
  • 5-7+ years of industry experience in applying DNN, generative AI, and predictive analytics.
  • Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn).
  • Cloud (AWS) and containerization (Docker) experience.

Nice-to-Have (Preferred Experience):

  • Production experience with GenAI models in the energy/commodities trading sector.
  • Experience with interactive dashboards (Dash, Streamlit) and time series modeling.
  • Knowledge of data orchestrators (Airflow, Dagster) and CI/CD pipelines.