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

Driver AI Inc.

DevOps Engineer

Austin, TX · On-site +1

$150K - $250K/yr

Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ... Write code (Python, Go, or similar) to improve tooling and workflows * Manage and optimize Linux ...

Driver AI Inc.

DevOps Engineer

Austin, TX · Remote

$52.25 - $71.50/hr

Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ... Write code (Python, Go, or similar) to improve tooling and workflows * Manage and optimize Linux ...

Accenture

Digital Product Design Senior Manager

Austin, TX · On-site +1

$125K - $165K/yr

Remote We Are: Accenture is helping enterprises reinvent their organizations and businesses ... Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and ...

3coresystems

Solutions Architect 3 / AI

Austin, TX · Remote

$62.50 - $82.25/hr

Solutions Architect 3 Location: 100% Remote. If they are residing in the US however, preferred ... Strong programming background in Python and Java, with the ability to reason at code level. Proven ...

CSC Generation

Software Engineering Manager

Austin, TX · On-site +1

Austin (Hybrid) / Remote (United States) About the Role As our Software Engineering Manager , you ... Familiarity with AI/ML tooling, prompt engineering, or integrating LLM-based features into ...

Bigcommerce

Senior Software Engineer (AI Agents)

Austin, TX · On-site +1

$116K - $195K/yr

Exposure to LLM-based products and their frontend patterns (token streaming, tool-call rendering ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

Invoca

Senior ML Engineer

Austin, TX · On-site +1

$103K - $142K/yr

Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

HumanSignal

Delivery Lead

Austin, TX · Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Python & REACT working knowledge * Experience managing distributed contributor workforces at scale

Feedonomics

Senior Software Engineer (AI Agents)

Austin, TX · On-site +1

$116K - $195K/yr

Exposure to LLM-based products and their frontend patterns (token streaming, tool-call rendering ... REMOTE #LI-GC1 (Pay Transparency Range: $116,000.00 - $195,000.00) Compensation Transparency The ...

Invoca

Sr. Sales Engineer

Austin, TX · On-site +1

Practical experience with LLM orchestration (RAG, Prompt Engineering) and frameworks like LangChain ... We are proud to be an equal opportunity workplace. #LI-Remote

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All JobsPython Llm JobsRemote Python Llm JobsRemote Python Llm Jobs in Austin, TX

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 13, 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 are popular job titles related to Remote Python Llm jobs in Austin, TX? For Remote Python Llm jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Llm jobs in Austin, TX look for? The top searched job categories for Remote Python Llm jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Python Llm jobs? Cities near Austin, TX with the most Remote Python Llm job openings:
Remote Python Llm jobs near you

DevOps Engineer

Driver AI Inc.

Austin, TX • On-site, Remote

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

DevOps Engineer (AI-Native, Builder Mindset)
Location: Remote
Company: Driver AI
Type: Full-time
Introduction
At Driver, we're building systems that turn source code into human language. The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend server, and a frontend web application that provides a rich user experience.
About Us
We're an early-stage startup backed by Y Combinator and Google Ventures that combines first principles technical approaches and applied LLM expertise to tackle context engineering at scale. Driver builds the context layer for employees and AI agents alike to use in developing software.
Working at Driver
We're an AI-first startup building the latest in AI assisted development technology. Our team moves fast, experiments constantly, and uses cutting-edge AI tools to accelerate development and operations. We care deeply about craftsmanship, curiosity, and people who genuinely love working with computers.
The Role
We're not looking for a traditional "pipeline babysitter."
We're looking for a DevOps engineer who codes, builds, and experiments-someone who understands systems end-to-end and enjoys optimizing them. You'll help design, deploy, and scale infrastructure while actively leveraging AI tools to move faster and smarter.
This role sits at the intersection of infrastructure, software engineering, sales engineering and AI-assisted workflows.
What You'll Do
  • Design, deploy, and maintain cloud infrastructure (primarily AWS)
  • Build and automate CI/CD pipelines and deployment systems
  • Write code (Python, Go, or similar) to improve tooling and workflows
  • Manage and optimize Linux-based systems in production
  • Configure and troubleshoot networking (DNS, firewalls, routing, etc.)
  • Implement monitoring, logging, and alerting systems
  • Improve developer experience and internal tooling
  • Leverage AI tools (Claude, ChatGPT, etc.) to accelerate operations and engineering workflows
  • Continuously refine infrastructure for performance, reliability, and cost-efficiency
  • Manage bi-weekly releases
  • Work with sales engineering to optimize customer on boarding and automation.
What We're Looking For
Core Technical Skills
  • Strong experience with Linux systems (you're comfortable living in the terminal)
  • Solid understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing)
  • Hands-on experience with AWS (EC2, VPC, IAM, S3, etc.)
  • Experience deploying and managing production services
  • Familiarity with infrastructure as code (CDK, Terraform, CloudFormation, etc.)
  • Experience with containers (Docker) and ideally orchestration (Kubernetes or ECS)
Engineering Mindset
  • You write code, not just configs - you communicate with infrastructure through code
  • Comfortable scripting and building tools to solve problems
  • Experience with at least one programming language (Python, Go, Rust, etc.)
AI-Native Thinking
  • Actively uses AI tools to enhance productivity
  • Curious about how AI can improve workflows, automation, and debugging
  • Open to experimenting with new tools and approaches
Who You Are
  • A computer enthusiast-you enjoy tinkering, optimizing, and learning
  • You care about clean systems and elegant solutions
  • You're proactive and don't wait to be told what to fix
  • You thrive in fast-moving, ambiguous environments
  • You communicate across silos to coordinate and achieve resolution
  • You have a minimum 3-5 solid years of experience in devops, software engineering, and/or computer engineering. Senior devops roles open as well for candidates with 7-10+ years experience
Nice to Have
  • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)
  • Experience in startups or small teams
  • Contributions to open source or personal projects
Why Join Us
  • Work on real AI-driven products from day one
  • High ownership and autonomy
  • Opportunity to shape infrastructure and engineering culture
  • Opportunity to work in other roles and develop new skills
  • Small, sharp team that values builders
Benefits
  • Competitive Compensation Packages - Cash & Equity
  • Flexible Work Culture
  • Unlimited Time Off + 12 Paid Company Holidays
  • Insurance - Health, Dental, & Vision
  • Life Insurance & FSA Accounts
  • 401(k) Retirement Accounts - Traditional, Roth, or Both
  • Quarterly Team Offsites

Driver is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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