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Python Llm Jobs in Round Rock, TX (NOW HIRING)

Scalence L.L.C.

Senior Generative AI Engineer

Austin, TX · On-site

$54.75 - $70.50/hr

Required : • Strong Java and Python Foundation. • Extensive hands on in Java and Python. • ... LLM libraries (e.g., Anthropic SDK). • Understanding LLM orchestration patterns, prompt ...

Seekr

Forward Deployed Engineer

Austin, TX · On-site

Hands-on expertise with AI/ML and LLM frameworks (e.g., PyTorch, Hugging Face, LangChain, vLLM ... Proficiency in at least one modern programming language (Python, Java, C++, TypeScript/JavaScript ...

Tata Consultancy Service Limited

AI Engineer

Austin, TX · On-site

$100K - $130K/yr

... or Python... the team is leaning to Typescript) - Strong backend engineering in TypeScript/Node.js (preferred) or Python, with production API design experience - Has built LLM harnesses/scaffolds ...

New

Realtor.com Careers

Senior Data Scientist

Austin, TX · On-site

Strong Python skills and proficiency with NLP libraries (Hugging Face, spaCy, scikit-learn, or similar). * Experience analyzing conversational and LLM-generated data using observability or evaluation ...

Realtor.com Careers

Senior Data Scientist

Austin, TX · On-site

Strong Python skills and proficiency with NLP libraries (Hugging Face, spaCy, scikit-learn, or similar). * Experience analyzing conversational and LLM-generated data using observability or evaluation ...

Socket.dev

Senior Data Scientist

Austin, TX · On-site

$140 - $195/hr

Strong Python skills and proficiency with NLP libraries (Hugging Face, spaCy, scikit-learn, or similar). * Experience analyzing conversational and LLM-generated data using observability or evaluation ...

SANS

AI Engineer (Austin, TX, or Fort Mill, SC )

Austin, TX · On-site

$106K - $139K/yr

Strong Python development * Infrastructure engineering * Cloud platforms (AWS preferred) * Infrastructure as Code * GitHub Copilot * Cursor AI * Prompt Engineering * LLM-based software development

Service Global, Inc

AI Engineer

Austin, TX · On-site

Strong backend engineering in TypeScript/Node.js (preferred) or Python, with production API design experience * Has built LLM harnesses/scaffolds with agentic loops, RAG pipelines, and tool-calling ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

This role focuses on compiler development for our novel LLM accelerator architecture. This is one ... Expert-level proficiency in Python and C * Experience with hardware compilers * Familiarity with ...

Stratedge IT Consulting INC

AI Solutions Architect

Austin, TX

$62.50 - $82.25/hr

Strong production experience with Python, SQL, Snowflake/data platforms, CI/CD, LLM evaluation and observability, MCP or OpenAI-compatible interfaces, SSO/SAML/OIDC, RBAC, guardrails, sandboxed code ...

New

StratEdge It consulting INC

AI Solutions Architect

Austin, TX · On-site

$62.50 - $82.25/hr

Strong production experience with Python, SQL, Snowflake/data platforms, CI/CD, LLM evaluation and observability, MCP or OpenAI-compatible interfaces, SSO/SAML/OIDC, RBAC, guardrails, sandboxed code ...

New

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How much do python llm jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for python llm in Round Rock, TX is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.12 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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Senior Generative AI Engineer

Scalence L.L.C.

Austin, TX • On-site

$54.75 - $70.50/hr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Scalence L.L.C. is seeking a Senior Generative AI Engineer to join their Apple Content Solutions Team. The role involves developing and maintaining AI-driven automation solutions while leveraging large language models (LLMs) for various applications.
Responsibilities:
• Develop and maintain AI-driven automation solutions.
• Track the effectiveness of AI automation solutions, continuously refining them based on user feedback and evolving requirements.
• Familiarity with AI-Agentic frameworks, MCPs and LLM libraries (e.g., Anthropic SDK).
• Understanding LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practices.
• Experience in CI/CD with building tools such as Maven and Jenkins.
• Experience with Kubernetes for container orchestration and deployment at scale.
• Work with project managers to ensure that all project deliverables are on time and high quality.
• Work collaboratively with other teams: QA, DevOps, UX etc.
• Exceptionally good at documentation and explaining our core technical processes.
• Prior Apple experience is a Strong plus.
Qualifications:
Required:
• Strong Java and Python Foundation.
• Extensive hands on in Java and Python.
• Develop and maintain AI-driven automation solutions.
• Track the effectiveness of AI automation solutions, continuously refining them based on user feedback and evolving requirements.
• Familiarity with AI-Agentic frameworks, MCPs and LLM libraries (e.g., Anthropic SDK).
• Understanding LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practices.
• Experience in CI/CD with building tools such as Maven and Jenkins.
• Experience with Kubernetes for container orchestration and deployment at scale.
• Work with project managers to ensure that all project deliverables are on time and high quality.
• Work collaboratively with other teams: QA, DevOps, UX etc.
• Exceptionally good at documentation and explaining our core technical processes.
• Prior Apple experience is a Strong plus.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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