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Python Llm Jobs in Irving, TX (NOW HIRING)

Marencor

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer Location: Dallas, TX * 5+ years of experience programming with Python. * 1+ years ... Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as ...

Virtusa Corporation

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Expertise in Python: Candidates must possess profound knowledge of the Python language, its ... LLM Frameworks: Direct, hands-on experience with Large Language Model (LLM) tools and frameworks (e ...

Netsynk

Python - AI Engineer

Dallas, TX

Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to ... Strong expertise in Python and modern AI frameworks. Experience with embeddings, knowledge graphs ...

Virtusa Corporation

Python Developer

Irving, TX

$48.25 - $66.50/hr

Expertise in Python: Profound knowledge of Python, its ecosystems, and popular frameworks (e.g ... Hands-on experience with LLM tools/frameworks (e.g., LangChain, OpenAI APIs, etc.) * Knowledge of ...

Deloitte

Python Developer

Dallas, TX · Hybrid

$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 ...

Photon

Python AI Agent Developer - Dallas, TX

Dallas, TX

$49.75 - $68.50/hr

Python Developer 3 to 4 Years (Framework Development & Agentic AI nice to have) We are building ... Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration ...

Photon

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer 3 to 4 Years (Framework Development & Agentic AI nice to have) We are building ... Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration ...

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How much do python llm jobs pay per hour?

As of May 29, 2026, the average hourly pay for python llm in Irving, TX is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 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.
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Python Llm jobs near you

Backend Engineer - LLM & Data Engineering

Purple Drive Technologies

Richardson, TX • On-site

Full-time

Posted 15 days ago

Job description

Overview:
Role Summary
We are looking for a Backend Engineer with strong experience in Python, LLM integration, and data engineering. The ideal candidate will have hands-on expertise in prompt engineering, fine-tuning LLMs, and working with LangChain and vector databases, while also ensuring robust API and backend development on modern cloud platforms.
Key Responsibilities
  • Design, develop, and maintain backend services and APIs with a strong focus on scalability and performance.
  • Implement LLM-based solutions, including prompt engineering and fine-tuning of large language models.
  • Build and optimize pipelines leveraging LangChain, vector databases, and LLM frameworks (OpenAI, Vertex AI, Hugging Face Transformers, etc.).
  • Develop and integrate REST APIs to support AI-driven applications and workflows.
  • Work on cloud platforms (AWS, GCP, or Azure) for deployment, scaling, and monitoring.
  • Collaborate with cross-functional teams to deliver end-to-end AI-powered solutions.
Required Skills & Experience
  • 5+ years of professional experience in software/data engineering with a backend focus.
  • Strong Python programming expertise.
  • Hands-on experience with LangChain, LLMs (OpenAI, Vertex AI, Hugging Face, etc.), and vector databases.
  • Knowledge of prompt engineering and LLM fine-tuning techniques.
  • Strong understanding of REST API design and integration.
  • Experience with cloud environments (AWS, GCP, or Azure).
Good to Have
  • Experience with ETL/ELT pipelines and handling large datasets.
  • Strong knowledge of data preprocessing for ML/AI applications.
  • Familiarity with application security (authentication, authorization, vulnerability mitigation).
  • Exposure to DevOps tools (Docker, Kubernetes, GitHub Actions, Jenkins, etc.).
  • Experience with FastAPI for building high-performance APIs.

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