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Python Llm Jobs in Texas (NOW HIRING)

Marencor

Data Scientist with Python

Dallas, TX · On-site

Data Scientist with Python Location: Dallas, TX below. Data Science Skills * Deploy and maintain ... Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$90K - $100K/yr

Working experience in Data Processing, AI enabled workflows using python * Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid prompting technique

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$95K - $105K/yr

Working experience in Data Processing, AI enabled workflows using python * Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid prompting technique

Deloitte

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Build and orchestrate LLM workflows in Python using LangChain/LangGraph, including tool/function calling, structured outputs, error handling, and performance/cost tuning. * Design and operate RAG ...

Diablo Convoy

LLM Engineer

Houston, TX

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... Python, Hugging Face, Langchain, RAG, AWS * PowerPoint presentation skills

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Python Llm information

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.
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Python Llm jobs near you

Data Scientist with Python

Marencor

Dallas, TX • On-site

Contractor

Posted 20 days ago

Job description

Data Scientist with Python

Location: Dallas, TX

Job description below.

Data Science Skills

  • Deploy and maintain knowledge ingestion pipelines and integration into API-based services.
  • Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG.
  • Experience fine-tuning and deploying LLMs.
  • Stay current on the latest GenAI trends, frameworks, and coding practices.

 

Software Development Skills

  • Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment.
  • Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS.
  • Uphold quality through DevOps pipeline, unit-, integration-, and end-to-end testing.

 

Required Qualifications:

  • 5+ years of experience programming with Python.
  • 1+ years of experience in Git and version control.
  • 1+ years of experience with a public cloud (
  • 1+ years using Scikit-learn
  • 1+ years of Langchain experience.
  • 1+ years of LLM experience building RAG systems
  • 1+ year experience with vector databases such as MongoDB Atlas or Pinecone
  • Portfolio of LLM applications and sample projects
  • 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup
  • 1+ years of LLM experience building RAG systems at scale (10,000+ documents).
  • 1+ years’ experience in DevOps with GitHub Actions or similar CI/CD tools.
  • 1+ years of writing and deploying microservices
  • 1+ years of Kubernetes experience
  • Strong code refactoring skills
  • Strong debugging skills.
  • Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content