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

Cotality

Principal Software Engineer (Python)

Dallas, TX · 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 ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

... LLM-enabled solutions. - Programming or scripting experience in Python or similar languages ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

... LLM-enabled solutions. - Programming or scripting experience in Python or similar languages ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · On-site +1

... LLM-enabled solutions. - Programming or scripting experience in Python or similar languages ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

Debug, tune, and optimize real-time LLM development pipelines for clients. * Build and maintain ... Strong proficiency in Python, Node.js, or TypeScript * Able to build integrations and debug live ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

Debug, tune, and optimize real-time LLM development pipelines for clients. * Build and maintain ... Strong proficiency in Python, Node.js, or TypeScript * Able to build integrations and debug live ...

Kobie Marketing

AI Engineer

Dallas, TX · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Kobie Marketing

AI Engineer

Dallas, TX · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

ContractStaffingRecruiters.com

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Platform Cloud Engineer - REMOTE

Dallas, TX · Remote

$70 - $80/hr

... and the Python scientific stack. Qualifications We Prefer: A flexible and patient mindset ... Experience building products that use Large Language Models (LLMs) and LLM APIs. * Technical ...

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

Remote Python Llm information

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How much do remote python llm jobs pay per hour?

As of Jul 9, 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
GenAI Engineer - LLM Fine-Tuning | Python | AWS

GenAI Engineer - LLM Fine-Tuning | Python | AWS

Mastech Digital

Dallas, TX • Remote

$81 - $100/hr

Full-time, Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago

Job description

Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a GenAI Engineer – LLM Fine-Tuning| Python| AWS for our client in the Consulting domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately.

Duration: 12 Months Contract

Location: Remote – Dallas, TX 75032

Salary: $81.00-$100.00/Hourly

Role: GenAI Engineer – LLM Fine-Tuning| Python| AWS

Primary Skills: Machine Learning

Role Description: The GenAI Engineer must have 10+ years of experience. For this role, you must be a highly skilled and hands-on NLP & GenAI Engineer with expertise in fine-tuning state-of-the-art language models such as LLAMA and BERT.

The ideal candidate should have a strong background in Python programming, Text Analytics, OCR, and AWS cloud services. You will be responsible for designing, developing, and optimizing scalable NLP solutions, especially focused on model adaptation and deployment.

Key Responsibilities:

- Fine-tune and customize pre-trained LLMs (e.g., LLAMA, BERT) for domain-specific applications.

- Develop and maintain end-to-end NLP pipelines for tasks like text classification, summarization, and entity extraction.

- Work with OCR tools to extract and analyze text from documents/images.

- Apply Text Analytics techniques to derive insights from unstructured data.

- Build and deploy models using AWS services (S3, EC2, SageMaker, Lambda, etc.).

- Optimize inference performance and memory efficiency of large language models.

- Collaborate with Data Scientists and Engineers to integrate models into production systems.

- Stay up to date with the latest research in GenAI, NLP, and ML.

Required Skills:

- Strong hands-on programming in Python for NLP and ML workflows.

- Proven experience with LLMs (LLAMA, BERT, or similar) and fine-tuning techniques.

- Proficiency in Text Analytics, NLP libraries (spaCy, HuggingFace Transformers, NLTK).

- Experience with OCR tools like Tesseract, Google Vision API, or AWS Textract.

- Solid understanding of AWS ecosystem for ML deployment and orchestration.

- Familiarity with model evaluation, prompt engineering, and vector stores is a plus

Education: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent

Experience: Minimum 10+ years of experience

Relocation: This position will not cover relocation expenses

Travel: No

Local Preferred: Yes

Note: Must be able to work on a W2 basis (No C2C)

Recruiter Name: Gaurav Bhadana

Recruiter Phone: 215-967-4284

Benefits:

We have various coverages and additional benefits to choose from:

- Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll).

- Paid Leaves (Wherever applicable).

- Life & Disability Coverage (Upon eligibility).

- 401K Option, Education Assistance Program and more.

Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status