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Python Llm Jobs in Dallas, TX (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 ...

BTI Solutions

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 ...

Btisolutions

Java/Python Full Stack Developer

Plano, TX

$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 ...

Tata Consultancy Service Limited

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 ...

InterSources Inc

Gen AI Engineer

Irving, TX · On-site

... 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 ...

SBT Global, Inc.

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 ...

SBT Global, Inc.

Java/Python Full Stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

... Models (LLM), and Agentic AI technologies. The ideal candidate will have strong Java/Spring ... Experience developing Python-based applications or automation scripts. Knowledge or hands-on ...

Infosys

Gen AI Python Engineer

Plano, TX · On-site

... LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth ... Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while ...

CA-One Tech Cloud Inc.

FDE with LLM

Dallas, TX · On-site

FDE with LLM Dallas, NJ, Charlotte Onsite Key Responsibilities * Enterprise Integration ... Build multi-agent workflows and complex orchestration pipelines using Lang Graph and Python . Model ...

SBT Global, Inc.

Java/Python Full Stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

... Models (LLM), and Agentic AI technologies. The ideal candidate will have strong Java/Spring ... using Java and Python. • Build and maintain front-end interfaces (HTML, CSS, JavaScript ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

State Farm

Lead Software Engineer (Python)

Richardson, TX · Hybrid

$127K - $156K/yr

Python pyspark, Terraform, APIs, JSON, Angular, React * AWS (Lambda, EC2, SQS, S3, Cloudfront, API ... Large Language Model (LLM) integration and deployment Non-Technical Skills: * Strong verbal and ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Sep 11, 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?

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

W2 Role - Python/Teradata Engineer - Plano, TX / Charlotte, NC Hybrid

Plano, TX • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

Contractor

Re-posted 13 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Python/Teradata Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com

Job Description

Position               : Python/Teradata Engineer

Location               : Plano, TX / Charlotte, NC Hybrid (3 days onsite 2 days remote)

Duration              : 12 months Contract (with high possibilities of extension)

Primary focus    : Build frameworks, conduct POCs, and integrate Python-based automation and analytics with Teradata.

Framework & Tooling Development:

  • Develop Python-based frameworks for automation, data processing, orchestration, and Teradata interactions (using teradatasql, pyodbc, etc.).
  • Build reusable modular libraries for logging, error handling, connection pooling, monitoring, and ETL/ELT operations.
  • Create CI/CD pipelines for Python applications running on Teradata platforms.
  • POC Evaluation & Capability Enablement
  • Perform Proof-of-Concept evaluations for new technologies, tools, and frameworks to extend platform capabilities.
  • Analyze potential integrations (Python APIs, LLM tools, data processing engines) and validate their performance and security within the bank’s ecosystem.
  • Present feasibility reports, architectural considerations, and implementation recommendations.

Development & Testing:

  • Design, develop, and test Python applications, ETL logic, and automation pipelines connected to Teradata.
  • Create unit tests, functional tests, and automated regression suites following enterprise QA standards.
  • Production Support & Operational Excellence
  • Support production applications running Python–Teradata workflows.
  • Troubleshoot complex issues involving data connectivity, query performance, and job failures.
  • Optimize code for concurrency, efficiency, exception handling, and platform resiliency.
  • Cross-Functional Collaboration
  • Work with data engineers, DBAs, system architects, and platform engineering to ensure consistent integration patterns.
  • Document new capabilities and train internal teams on framework adoption.