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Remote Python Llm Jobs in Austin, TX (NOW HIRING)

Principal Software Engineer (Python)

Austin, TX ยท On-site +1

$133K - $179K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing ...

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Python or C#) and one front end framework (e.g. React/JavaScript) * Comfort with REST APIs, JSON ...

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Python or C#) and one front end framework (e.g. React/JavaScript) * Comfort with REST APIs, JSON ...

... LLM-powered systems. * Technical Skills: * Builder & Deployer: You don't just prototypeyou ship ... You've built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or ...

... LLM-powered systems. * Technical Skills: * Builder & Deployer: You don't just prototype-you ship ... You've built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or ...

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Remote Python Llm information

See Austin, TX salary details

$13

$58

$85

How much do remote python llm jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote 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 remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
What cities near Austin, TX are hiring for Remote Python Llm jobs? Cities near Austin, TX with the most Remote Python Llm job openings:
Senior Python Developer / Data Engineer / ML Pipelines

Senior Python Developer / Data Engineer / ML Pipelines

Eitacies Inc

Austin, TX โ€ข Remote

$117K - $140K/yr

Full-time

Posted 14 days ago


Job description

Senior Python Developer / Data Engineer / ML Pipelines
100% Remote role
Responsibilities
  • Design and build large-scale data pipelines for ingestion, transformation and processing
  • Work on ETL/ELT workflows handling different types of data
  • Build and maintain end-to-end ML pipelines from data preparation to deployment and monitoring
  • Collaborate with data scientists to productionize ML models
  • Work on feature engineering, training pipelines and model serving
  • Ensure data quality, monitoring and pipeline reliability
  • Optimize systems for performance, scalability and cost
  • Contribute to clean, maintainable, production-grade Python code
Experience Required
  • 8+ years of software engineering experience with Python as primary language
  • Strong background in data engineering (ETL/ELT, pipelines, data processing)
  • Hands-on experience building and maintaining ML pipelines in production environments
  • Experience with PySpark / Apache Spark
  • Experience with workflow orchestration tools like Airflow, Dagster, or Prefect
  • Good understanding of streaming/data processing systems (Kafka, Kinesis, etc.)
  • Experience working with cloud platforms (AWS / GCP / Azure)
  • Strong SQL skills and experience with data warehouses
  • Comfortable working in a distributed/remote engineering setup
Plus
  • Experience with NLP or LLM-based systems
  • Familiarity with MLOps tools like MLflow, Kubeflow, or similar
  • Experience with feature stores
  • Exposure to data privacy, PII detection, or compliance-related systems

This is a remote position.