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Python Llm Jobs (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 ...

Tror AI for everyone

Gen AI ML Engineer

Charlotte, NC · On-site

... in Python, LLM, RAG, Vector Databases, LangChain, LangGraph, Google ADK, Agentic AI • Hands on experience delivering 3-4 end to end Production projects • Good communication skills and able to ...

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

Should be specialized in building & deploying Gen AI applications on Azure commercial/gov cloud proficient at Python, LLM prompting, Azure OpenAI service, and other Gen AI related Azure services such ...

Staffingine LLC

AI/ML Tech lead

Nashville, TN · On-site

Expert in Python * LLM Concepts * RAG Architecture * MS OpenAI * GPT40 41 * O3 Mini Mandatory Skills : Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt ...

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How much do python llm jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for python llm in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

More about Python Llm jobs
What cities are hiring for Python Llm jobs? Cities with the most Python Llm job openings:
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Python Llm jobs near you
Infographic showing various Python Llm job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Python & LLM Developer

Python & LLM Developer

Alltech Consulting Services, Inc.

Dallas, TX

$50 - $68.75/hr

Other

Posted 3 days ago

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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