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Python Llm Jobs in Houston, TX (NOW HIRING)

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

SmartIPlace

LLM Engineer[Onsite]

Houston, TX · Remote

$170K/yr

LLM Engineer 6-month contract Houston,TX (Onsite) USC/GC Required Skills & Experience -3+ years of large language modeling experience -5+ years of python experience -Strong problem solving skills and ...

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... Python, Hugging Face, Langchain, RAG, AWS * PowerPoint presentation skills

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... Python, Hugging Face, Langchain, RAG, AWS * PowerPoint presentation skills

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Python, TypeScript, Node.js, Java, Go AI Agents & GenAI Applications RAG (Retrieval-Augmented Generation) LLM APIs (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI) REST, GraphQL, Webhooks Workflow ...

Pwc

GenAI Python Systems Engineer-Manager

Houston, TX · On-site

$99K - $232K/yr

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

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How much do python llm jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python llm in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 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
Infographic showing various Python Llm job openings in Houston, TX as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

LLM Infrastructure Engineer

AMSYS Talent

Houston, TX • On-site

$97K - $127K/yr

Full-time

Posted 17 days ago

Job description

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance APIs for model inference, optimizing GPU workloads, and deploying AI services in cloud environments.
This is an engineering-focused role, not research. We are looking for someone who has built and shipped AI systems into production and understands the challenges of scalable inference and model serving.
Key Responsibilities
  • Develop high-performance APIs using Python (3.10+) and FastAPI
  • Build and deploy LLM inference services using HuggingFace Transformers and PyTorch
  • Optimize GPU workloads and CUDA memory usage
  • Implement streaming inference APIs for real-time model responses
  • Containerize and deploy services using Docker and GPU-enabled infrastructure
  • Deploy AI workloads in Azure environments (AKS, ACI, or Container Apps)

Required Skills
  • Strong Python development experience (3.10+)
  • Hands-on experience building production APIs with FastAPI
  • Experience with HuggingFace Transformers and PyTorch
  • Solid understanding of REST API design
  • Experience deploying containerized applications with Docker

Nice to Have
  • Experience with OpenAI-compatible APIs, vLLM, or Text Generation Inference (TGI)
  • Experience deploying AI workloads on Azure GPU infrastructure
  • Familiarity with LoRA / PEFT fine-tuning
  • Exposure to legal or financial NLP use cases

Ideal Candidate: A hands-on engineer who understands how LLM systems run in production-from model loading and tokenization to GPU deployment and scalable APIs.

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