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Python Llm Jobs in Austin, TX (NOW HIRING)

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems) * Python experience focused on machine learning and NLP

Neurophos

Staff Compiler Engineer

Austin, TX · On-site

The Staff Compiler Engineer will lead the development of compilers for their novel LLM accelerator ... Python and C • Experience with hardware compilers • Familiarity with Large Language Model ...

Apple

Support Engineer

Austin, TX

$184K - $277K/yr

... query issues, and LLM output regressions. Support the full-stack web engineering team by ... Deliver targeted bug fixes and enhancements across the stack - Python microservices, Node.js ...

Apple

Support Engineer

Austin, TX

$184K - $277K/yr

... query issues, and LLM output regressions. Support the full-stack web engineering team by ... Deliver targeted bug fixes and enhancements across the stack - Python microservices, Node.js ...

Xforia, Inc.

Site Reliability Engineer

Austin, TX · On-site

$140K/yr

Knowledge of ML models and LLM Qualifications: * 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS. * Good understanding of Apache SOLR. * Proficient with ...

Donato Technologies, Inc

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Knowledge of ML models and LLM Qualifications: * 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS. * Good understanding of Apache SOLR. * Proficient with ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

Responsibilities : • Develop, evaluate, and iterate on NLP and LLM-based systems, including text ... in Python and SQL, and comfort working with structured and unstructured data. • Ability to ...

Modicus Prime

Platform Engineer

Austin, TX

Correlate machine learning and LLM metrics with traditional application observability * Implement ... Python with type hints for tooling and automation * Experience with CI/CD pipelines (GitHub Actions ...

Ready

Product Solutions Engineer

Austin, TX · On-site

$125K - $160K/yr

Experience with AWS Bedrock, Python (including SQL knowledge), CI/CD (Docker, AWS), MLflow + Airflow (good to have), and Langchain or Pydantic-AI. * Knowledge of LLM model evaluation, RAG ...

Accenture

AI & HPC Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/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 ...

New

CYNET SYSTEMS

AI/ML Engineer 1

Austin, TX · On-site

$55 - $60/hr

Build and maintain Claude skills, Claude Code workflows, and multi-step LLM pipelines using Claude ... Ability to write and read Python or another scripting language. * Problem-solving mindset: when ...

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How much do python llm jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python llm in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 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.

What are the most commonly searched types of Python Llm jobs in Austin, TX? The most popular types of Python Llm jobs in Austin, TX are:
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Python Llm jobs near you

AI Engineer, Data Science

Future Secure AI

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 27 days ago

Job description

About the Company
At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
As a Senior AI Engineer - Data Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven solutions-that solve high-value, real-world problems for enterprise clients.
You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.
Your work will directly contribute to AI systems that have the potential to transform industries-and society.
Responsibilities
  • Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
  • Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities
  • Enhance LLM output quality across diverse use cases, including optimisation of multi-step reasoning chains
  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
  • Influence long-term data and AI strategy, including governance, ethical AI, and scalable frameworks
  • Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production-ready solutions
  • Mentor and uplift junior data scientists, setting standards for excellence

Minimum Qualifications
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science or a related discipline
  • 5+ years of experience as a Data Scientist with hands-on experience and a track record of delivering impactful ML and AI outcomes
  • Experience within the AI sector
  • Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
  • Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems)
  • Python experience focused on machine learning and NLP
  • Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
  • Empathy, humility, and a growth mindset-open to feedback and committed to collaboration
  • Comfort working in an agile, fast-evolving environment

Preferred Qualifications
  • Master's or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
  • Knowledge of other software languages in addition to Python

Why Join Us?
  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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