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Python Llm Jobs in Texas (NOW HIRING)

Autonomize AI

ML/LLM Engineer - Applied AI

Austin, TX · On-site

Required : • 3-6 years of experience in applied ML, with at least 1-2 years working with LLMs • Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain ...

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 ...

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

Write efficient Python code on structured time series datasets that scales easily across cloud ... Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features ...

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

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 ...

Infovision

AI Engineer

Dallas, TX · On-site

AI Engineer | Python + GenAI + Data | 8+ Years Experience 8+ years of engineering experience with ... for LLM applications Experience building and optimizing RAG (Retrieval-Augmented Generation ...

BC Forward

Java + Python AI Agent Engineer

Addison, TX · On-site

$68.25/hr

Java + Python AI Agent Engineer Location: Addison, TX Duration: Contract - 7 months (potential ... Familiarity with LLM-based agents and prompt engineering. Work Arrangement and Interview Process ...

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Python Llm information

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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The most popular types of Python Llm jobs in Texas are:

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For Python Llm jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Python Llm jobs in Texas look for?

The top searched job categories for Python Llm jobs in Texas are:

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Python Llm jobs near you
Infographic showing various Python Llm job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

ML/LLM Engineer - Applied AI

Autonomize AI

Austin, TX • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. They are seeking a hands-on ML/LLM Engineer to build and optimize AI-native systems that blend structured and unstructured data for decision-making in high-stakes domains.
Responsibilities:
• Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)
• Fine-tune and evaluate LLMs using both open-source and proprietary data
• Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma
• Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases
• Monitor and improve model quality, latency, explainability, and safety
• Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures.
Qualifications:
Required:
• 3–6 years of experience in applied ML, with at least 1–2 years working with LLMs
• Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)
• Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning
• Bias for experimentation, clarity, and pushing things into production — fast
• Understanding of responsible AI practices, model evaluation, and observability
• Experience in healthcare, compliance-sensitive data, or regulated environments
Company:
Autonomize AI uses AI Agents to simplify some of healthcare’s most complex processes, transforming them into AI-native operations. Founded in 2022, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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