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Python Llm Jobs in Dallas, TX (NOW HIRING)

Mphasis

Architect

Dallas, TX · On-site

Mphasis is seeking a Lead / Principal Python & LLM Developer to drive the architecture, design, and implementation of enterprise-grade AI/ML, NLP, and LLM-based systems. The role involves leading ...

New

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 ...

ClinDCast, LLC

Python Full Stack Developer

Dallas, TX · On-site

Python Full Stack Developer 📍 Dallas, TX (Onsite) 📄 W2 Only We are looking for a highly experienced Python Full Stack Developer with strong expertise in backend, cloud, and AI/LLM-based ...

New

Smartwork IT Services

Java Full Stack Engineer

Dallas, TX · On-site

$52.25 - $67.25/hr

Candidates limited exclusively to Python/LLM development. We are looking for engineers who have: * Experience integrating AI or agentic workflows into business applications. * Practical exposure to ...

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All JobsPython Llm JobsPython Llm Jobs in Dallas, TX

Python Llm information

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How much do python llm jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python llm in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 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
Python & LLM Developer

Python & LLM Developer

Alltech Consulting Services, Inc.

Dallas, TX

$50 - $68.75/hr

Other

Posted yesterday

Job description

Principal Python & LLM Developer

Location:- Dallas TX-Onsite role

Experience: 8 to 12 years

Role Summary
Drive architecture, design, and implementation of enterprisegrade AI/ML, NLP, and LLM-based systems. Lead model development, scalable backend engineering, and cloud AI integration.

Key Responsibilities

  • Architect and build complex AI/ML/NLP and LangChain solutions
  • Lead design of scalable Python-based backend and APIs
  • Guide integration of ML models into production systems
  • Partner with architects, data scientists, designers, and product teams for solution delivery
  • Optimize models for performance, scalability, and accuracy
  • Oversee CI/CD, cloud AI services, and MLOps workflows
  • Mentor the engineering team; review highimpact code
  • Stay current on emerging AI, ML, NLP technologies

Mandatory Skills (with Experience)

  • Python (AI/ML/NLP): 8 12 years
  • LangChain: 4 6 years
  • Cloud (Google Cloud Platform/Azure/AWS) + AI/MLOps: 6 8 years
  • Enterprise API architecture (Python): 6+ years
  • CI/CD + Kubernetes + automation: 5 7 years
  • Crossteam leadership, communication & problemsolving skills

Good to Have

  • Multilanguage exposure (Java/C#/JavaScript)
  • Cloud or AI certifications
  • Strong solution design & architectural documentation

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