1

Python Llm Jobs in Texas (NOW HIRING)

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 ...

Required : • 3-6 years of experience in applied ML, with at least 1-2 years working with LLMs • Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain ...

Hands-on experience building agentic applications or LLM-integrated chatbots * Experience developing agentic applications with the Google Agent Development Kit (ADK) * Fluency in Python or another ...

Senior LLM Engineer

Austin, TX · On-site

$195K - $255K/yr

Strong Python and deep PyTorch proficiency; solid grasp of transformer architecture internals. * Hands-on experience building RAG pipelines, embeddings/vector search, and agentic or tool-use LLM ...

Senior LLM Engineer

Austin, TX · On-site

$195K - $255K/yr

Strong Python and deep PyTorch proficiency; solid grasp of transformer architecture internals. * Hands-on experience building RAG pipelines, embeddings/vector search, and agentic or tool-use LLM ...

New

Java/Python Full Stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

Java/Python Full Stack Developer Position Summary We are looking for a motivated senior full stack ... Models (LLM), and Agentic AI technologies. The ideal candidate will have strong Java/Spring ...

Java/Python Full Stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

Java/Python Full Stack Developer Position Summary We are looking for a motivated senior full stack ... Models (LLM), and Agentic AI technologies. The ideal candidate will have strong Java/Spring ...

Gen AI Engineer

Irving, TX · On-site

$90K - $130K/yr

... using python Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. Basic knowledge of Hybrid prompting technique Knowledge in Generative AI tools like LangChain, Hugging Face, Llama ...

... python • Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face ...

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

Write efficient Python code on structured time series datasets that scales easily across cloud ... Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features ...

Java/Python Full Stack Developer

Plano, TX

$50.25 - $64.75/hr

Support the integration and fine-tuning of AI/LLM-based features into existing and new applications ... Experience developing Python-based applications or automation scripts. * Knowledge or hands-on ...

Showing results 41-60

Python Llm information

What is a Python LLM?

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 Texas?

The most popular types of Python Llm jobs in Texas are:

What job categories do people searching Python Llm jobs in Texas look for?

The top searched job categories for Python Llm jobs in Texas are:

What cities in Texas are hiring for Python Llm jobs?

Cities in Texas with the most Python Llm job openings:

Infographic showing various Python Llm job openings in Texas as of September 2026, with employment types broken down into 2% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution.

Data and Automation Engineer - Python

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

About the Role
We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation.
You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.
This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.
Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
  • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
  • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
  • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
  • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
  • Process structured, semi-structured, and JSON data from a variety of internal and external sources.
  • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
  • Identify opportunities to automate repetitive processes and improve operational efficiency.
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Requirements
Technical Skills
  • 3-7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills with experience in data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating and processing data from multiple SaaS platforms via APIs.
  • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
  • Experience working with structured, semi-structured, and JSON data.
  • Familiarity with Git and modern software development practices.
  • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
Preferred Qualifications
  • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
  • Experience with CRM platforms such as Salesforce or HubSpot.
  • Familiarity with LLM APIs and AI-powered applications.
  • Experience working in fast-paced startup environments.
  • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.
Benefits
What We Offer:
  • A fast-paced, collaborative startup culture with high visibility.
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
  • Opportunity to make a meaningful impact in building a company and culture.
  • Equity in a financial technology startup.
  • Generous health, dental, and vision coverage for employees and family members + 401K.
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.