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Python Llm Jobs in Jefferson, GA (NOW HIRING)

Python for AI workflows, scripting, or backend services * LLM APIs , including OpenAI, Azure OpenAI, Anthropic, Gemini, or similar * Prompt engineering for structured, reliable AI outputs * RAG ...

AI Engineer

Buford, GA

$69.56K - $134.88K/yr

Proficient in Python programming; strong experience with LLM and Agent frameworks. * Knowledgeable in containerization technologies (e.g., Docker) and cloud platforms (e.g., AWS or Azure)

AI Automation Engineer -Remote

Lawrenceville, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

AI Automation Engineer -Remote

Athens, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

Python Llm information

See Jefferson, GA salary details

$12

$54

$79

How much do python llm jobs pay per hour?

As of May 30, 2026, the average hourly pay for python llm in Jefferson, GA is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $61.59 per hour, depending on experience, location, and employer.

What is a Python LLM job?

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 Jefferson, GA are hiring for Python Llm jobs? Cities near Jefferson, GA with the most Python Llm job openings:

Full Stack .NET Engineer

Qualibar

Gainesville, GA

Other

Posted 16 days ago


Job description

Job Title: Full Stack .NET Engineer

Location: 1025 Airport Pkwy, Gainesville, GA 30501

Duration: Full Time

About the Role

We are looking for a strong Full Stack Engineer with hands-on experience in React, C#, .NET Core / .NET 6+, SQL Server, and AI application development. This role is ideal for an engineer who can build reliable business applications, design clean APIs, work across the frontend and backend, and help integrate modern AI capabilities such as LLM APIs, prompt engineering, RAG, and AI-driven workflows.

The right candidate should be comfortable working in a fast-moving environment, translating business requirements into technical solutions, and building production-ready software — not just demos that sparkle for five minutes and then collapse like a lawn chair.

Key Responsibilities

  • Design, develop, and maintain full-stack applications using React, C#, .NET Core / .NET 6+, and SQL Server
  • Build and consume REST APIs for internal and external system integrations
  • Develop responsive, user-friendly frontend interfaces using React, JavaScript, and/or TypeScript
  • Write efficient SQL queries, stored procedures, and database logic in SQL Server
  • Participate in database design, query optimization, and data modeling
  • Integrate LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or similar platforms into business applications
  • Support development of AI-powered features such as chatbots, copilots, document search, summarization, and automated workflows
  • Assist with RAG implementation, including document ingestion, chunking, embeddings, retrieval, and response generation
  • Apply prompt engineering best practices to improve AI output quality, reliability, and guardrails
  • Collaborate with product owners, business stakeholders, designers, QA, and other engineers
  • Participate in Agile/Scrum ceremonies, sprint planning, code reviews, and technical discussions
  • Support DevOps and CI/CD workflows, including deployments, build pipelines, and environment troubleshooting
  • Write clean, maintainable, testable code following software engineering best practices

Required Skills & Experience

  • Strong experience with C# and .NET Core / .NET 6+
  • Strong frontend development experience with React
  • Solid experience with JavaScript and/or TypeScript
  • Strong working knowledge of SQL Server
  • Experience building and integrating REST APIs
  • Good understanding of software engineering fundamentals, design patterns, debugging, and code quality
  • Experience working in Agile/Scrum development environments
  • Familiarity with DevOps and CI/CD concepts
  • Ability to understand business requirements and convert them into scalable technical solutions
  • Strong communication skills and ability to explain technical tradeoffs clearly

AI Engineering Experience

The ideal candidate should have practical exposure to some or all of the following:

  • Python for AI workflows, scripting, or backend services
  • LLM APIs, including OpenAI, Azure OpenAI, Anthropic, Gemini, or similar
  • Prompt engineering for structured, reliable AI outputs
  • RAG implementation, including embeddings, vector search, document retrieval, and response grounding
  • LLM orchestration frameworks or patterns, such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, or custom agent workflows
  • AI feature integration into real-world business applications
  • Understanding of AI limitations, hallucination risks, privacy concerns, and human-in-the-loop workflows