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Python Llm Jobs in Houston, TX (NOW HIRING)

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Proficiency with Tableau, Power BI, or Python visualization libraries Experience & Education • 5+ ... LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training • ...

Scalence L.L.C.

AI ML Software Engineer

Houston, TX · On-site

... ML/LLM/GenAI solutions to meet business objectives. • Develop and maintain automated pipelines ... Python for model development, experimentation, and integration with OpenAI API. • Experience with ...

Accenture

AI & HPC Infrastructure Engineer

Houston, TX

$102K - $134K/yr

... Python and modern API patterns such as REST, OpenAPI, JSON/YAML schemas, webhooks, and event-driven integrations. * Experience designing and implementing agentic AI infrastructure, including LLM ...

Augment

Principal Scientist, Data

Houston, TX · On-site

$80 - $83/hr

Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning . * Strong proficiency in Python and ML frameworks ( PyTorch, TensorFlow, Hugging ...

iLink Digital

Technical Lead

Houston, TX · On-site

Design and implement AI-drivenautomation, agentic workflows, and LLM-based solutions . * Develop backend servicesusing C# / .NET Core and Python . * Build and integrate RESTAPIs, cloud services, and ...

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

Python, cloud data warehouse experience (e.g., Snowflake, Synapse), Spark SQL * Performance tuning, partitioning, and optimization. * Modern LLM architectures and GenAI frameworks - retrieval ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Design, build, and maintain LLM-powered and agentic workflows using tools like LangGraph and ... Develop and productionize AI/ML services in Python, including work with Mixture-of-Experts (MoE ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Design, build, and maintain LLM-powered and agentic workflows using tools like LangGraph and ... Develop and productionize AI/ML services in Python, including work with Mixture-of-Experts (MoE ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 19, 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?

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

Generative AI Engineer - Houston, TX

Apetan Consulting

Houston, TX • On-site

$50 - $60/hr

Other

Posted 13 days ago

Job description

Title: Generative AI Engineer
Work Location: Houston, TX 
Duration: 6-12 Months Contract
Work Mode: Onsite from Day 1
Pay Rate Range: $50/hr. - $60/hr. on C2C
Interview: Face to Face Interview is Mandatory
 
If you've been building software for a few years, you've picked up real engineering instincts, and you're the person on your team who's already experimenting with agents and LLMs on the side — this is a chance to do that work for real, at enterprise scale, on production systems that matter.
 
What you will do:
Build agentic features, hands-on. Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent workflows, retrieval pipelines, evaluation loops.
Write production code daily. Java/Spring Boot microservices and AI integrations on AWS.
Learn the full lifecycle. From an idea in a design doc to something running in production, instrumented, monitored, and improved based on real usage.
Bring fresh eyes. You're closer to the newest models, frameworks, and techniques than engineers who've been heads-down in one stack for a decade — we want that perspective in the room, not just deference to seniority.
Grow fast. Work directly with senior engineers who'll push your technical depth, and take on more ownership as you earn it.
 
Our stack
Java / Spring Boot microservices on AWS (Lambda, SQS, SNS, IAM, CloudWatch). 
AI Stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph-based retrieval, LLM-as-judge evaluation. Some Python and Go at the edges. You won't know all of this — we're more interested in how fast you pick things up than what's already on your resume.
 
What you will bring:
4+ years building software professionally — you've shipped real features, not just coursework or side projects, and you understand what "production" demands.
Genuine curiosity about AI/agentic systems — you've built something with LLMs or agents, even outside of work: a side project, a hackathon entry, an experiment that didn't ship. We want to hear about it.
Solid engineering fundamentals — distributed systems basics, APIs, cloud infrastructure (AWS). You need to know what good code and good design look like.
You experiment and iterate ideas quickly and bring new perspectives 
 
Nice to have
Experience with multiple LLM APIs or agent frameworks
Python or Go 
POCs using AI for coding, automation, or data work 
Contributions to open source AI/ML tooling.

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