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Remote Python Llm Jobs in Texas (NOW HIRING)

Diverse Lynx

AL/ML Engineer

Dallas, TX · Remote

Remote Role/skills Name : Terraform, Python, Cloud, GCP, Data Management, AI/ML,MCP Technical Skills * AI/LLM Agent and MCP (Model Control Protocols) - Google ADK, Copilot Studio * Cloud Experience ...

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 ...

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Remote Python Llm information

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.

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.
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Remote Python Llm jobs near you

NLP Engineer CMS Documentation and Intelligent Automation

Vytwo

Prosper, TX • Remote

Full-time

Posted 7 days ago

Job description

Role: NLP Engineer CMS Documentation and Intelligent Automation
Duration: 7 months USA
Remote Work
Job description:
We are seeking an NLP Engineer with strong automation expertise to design and implement intelligent solutions that read, interpret, and operationalize CMS manuals and regulatory guidance.
The role focuses on leveraging NLP and LLMs to extract rules, conditions, exceptions, and compliance logic from complex structured and unstructured CMS documentation, and automating downstream workflows using Python and enterprise automation platforms.
Key Responsibilities:
  • Design and build NLP/LLM-driven pipelines to read and interpret CMS manuals, policies, and regulatory guidance.
  • Extract rules, conditions, exceptions, and eligibility logic from unstructured and semi-structured CMS documents (PDFs, HTML, Word, policy manuals).
  • Implement Document Intelligence / Intelligent Document Processing (IDP) solutions for large-scale CMS content ingestion.
  • Convert extracted regulatory logic into machine-readable rules and automated workflows.
  • Develop and productionize automation using Python and workflow orchestration tools such as UiPath and Power Automate.
  • Collaborate with clinical, compliance, actuarial, and engineering stakeholders to validate rule interpretations and ensure accuracy.
  • Ensure outputs are traceable, auditable, and aligned with CMS compliance standards.

Required skills:
  • Strong experience with NLP and LLM frameworks (e.g., spaCy, Hugging Face, Azure OpenAI/OpenAI).
  • Proven hands-on expertise in Python for text processing, rule extraction, and workflow automation.
  • Experience with Document Intelligence / IDP platforms and techniques.
  • Practical experience with UiPath, Power Automate, or similar enterprise automation tools.
  • Demonstrated ability to process and interpret complex regulatory and policy documents.
  • Experience building production-grade AI solutions in regulated industries.
  • Requires US residency of 3 years and subject to CMS background Checks

Desired skills:
  • Prior experience working with CMS manuals, healthcare regulations, or payer/provider policy documentation.
  • Healthcare domain experience (Medicare, Medicaid, RADV, HCC, payment integrity, utilization management).
  • Familiarity with agentic AI, rule engines, or decision orchestration frameworks.
  • Cloud experience (AWS preferred).

This is a remote position.