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Python Llm Jobs in Supply, NC (NOW HIRING)

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Python Llm information

See Supply, NC salary details

$10

$46

$68

How much do python llm jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for python llm in Supply, NC is $46.38, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $52.69 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What cities near Supply, NC are hiring for Python Llm jobs?

Cities near Supply, NC with the most Python Llm job openings:

Python Llm jobs near you

Solution Lead/ JAVA TECH LEAD

Connexions Data Inc

Carolina Beach, NC • On-site

Other

Posted 22 days ago

Job description

Job Description

Must Have Technical/Functional Skills

13+ years of experience with IT

Build and productionize cloud native backend services and AI/LLM inference pipelines.

Design and develop Python-based APIs and microservices (FastAPI, async patterns) and agentic AI workflows using LangChain/LangGraph.

Implement and optimize LLM capabilities including embeddings, RAG, vector search, prompt/context engineering, and model versioning.

Package, serve, and monitor models for real-time and batch inference, ensuring operational readiness and performance.

Build event driven, resilient integrations and containerized services, with hands-on Kubernetes debugging and Helm-based deployments.

Establish observability, SLOs, CI/CD automation, testing

Apply strong systems design principles (concurrency, caching, reliability, rate limiting) and robust data engineering practices.

Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.

Roles & Responsibilities

Build and productionize cloud native backend services and AI/LLM inference pipelines.

Design and develop Python-based APIs and microservices (FastAPI, async patterns) and agentic AI workflows using LangChain/LangGraph.

Implement and optimize LLM capabilities including embeddings, RAG, vector search, prompt/context engineering, and model versioning.

Package, serve, and monitor models for real-time and batch inference, ensuring operational readiness and performance.

Build event driven, resilient integrations and containerized services, with hands-on Kubernetes debugging and Helm-based deployments.

Establish observability, SLOs, CI/CD automation, testing

Apply strong systems design principles (concurrency, caching, reliability, rate limiting) and robust data engineering practices.

Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.

Apply