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

Experian

Staff Software Architect (AI) - Remote

Allen, TX · On-site +1

$115K - $208K/yr

Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows ... Experience with at least one modern backend language (Java,go, Python, Rust, or Node.js). * You ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

ABC Legal Services

Data Scientist

Dallas, TX · On-site +1

$110K - $130K/yr

Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or ... Exposure to LLM-based workflows or applied NLP in a production setting * Data engineering ...

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How much do remote python llm jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote python llm in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 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.
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Remote Python Llm jobs near you
Staff Software Architect (AI) - Remote

Staff Software Architect (AI) - Remote

Experian

Allen, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

The Financial Services Division (FSD) Engineering team is looking for a Staff Software Architect. You will be reporting to the Software Development Director.

Architecture Leadership

  • Architect and evolve our real-time API platform for scalability, low-latency, and high availability (4–5 9s uptime).
  • Lead design and implementation of platform-wide projects, such as event-driven architecture, observability, service mesh integration, and rate-limiting strategies.
  • Define roadmaps across API platforms with emphasis on scalability, maintainability, and rapid experimentation
  • Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals
  • Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams
  • Integrate AI into every layer of architecture to support thoughtful, agentic system design.

Platform and Technical Leadership

  • Lead technical design across consumer products and internal platforms
  • Support agent-based automation and apply MCP to promote scalable AI workflows
  • Shape cohesive end-to-end architecture spanning APIs, services, and frontends

Collaboration and Influence

  • Bring complex projects from concept to production, influencing technical direction across multiple teams.
  • Lead technical deep dives, reviews, and postmortems to improve engineering quality.
  • Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows
  • Advance system-level thinking and reusability through shared scaffolds and frameworks

Innovation and Organizational Impact

  • Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms
  • Promote agent-based design, prompt abstraction, and developer enablement across teams
  • Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.
Qualifications
  • 8+ years in software engineering
  • 5+ in architecture or principal roles
  • Experience with at least one modern backend language (Java,go, Python, Rust, or Node.js).
  • You have experience integrating LLMs with APIs (e.g., OpenAI, Anthropic, or similar)
  • Experience with AI agent design, LLM orchestration (such as MCP), and integration of AI tools into developer workflows.
  • Proficiency or active use of GitHub Copilot, Cursor, Claude, and prompt-based development tools.
  • Experience in developer enablement, automation platforms, or engineering transformation projects.
  • Experience with API gateways, load balancing, caching, and observability tools (Splunk, Dynatrace)
  • Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks
  • Expertise in microservices, GraphQL, API-first design, and AWS-native systems
  • Knowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)
  • Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks
  • Operational experience in monitoring, observability, and incident response
  • Experience building multi-agent systems at scale
  • Exposure to AI observability platforms (prompt tracing, token analytics)
  • Experience with fine-tuning or model customization
  • Background in platform engineering or internal developer platforms
  • Experience scaling AI systems to high-volume production workloads
  • Experience defining AI evaluation benchmarks and KPIs
  • Experience defining AI governance, compliance, and responsible AI practices

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture is people-first, inclusive, and purpose-driven. It is also multi-award-winning. In 2025, Fortune Global Top 25 named it one of the World's Best Workplaces™. Additionally, it has been recognized as a Great Place To Work™ in 26 countries, to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. We list the base pay range for this position above. Within this range, work location and additional factors such as job-related experience, and education determine individual pay. You will be also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

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