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Python Llm Jobs in Alpharetta, GA (NOW HIRING)

2T Consulting

AI & Microsoft Fabric Engineer

Redan, GA · On-site

Expertise in LLM/GenAI solutions including Azure OpenAI/OpenAI, RAG, embeddings, vector search ... Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging ...

2T Consulting

AI & Microsoft Fabric Engineer

Smyrna, GA · On-site

Expertise in LLM/GenAI solutions including Azure OpenAI/OpenAI, RAG, embeddings, vector search ... Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging ...

Lorven Technologies

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs and scalable enterprise solutions. * Build AI-powered data analytics and self-service platforms.

Lorven Technologies

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs and scalable enterprise solutions. * Build AI-powered data analytics and self-service platforms.

CLPS Global

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs and scalable enterprise solutions. * Build AI-powered data analytics and self-service platforms.

CLPS Global

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs and scalable enterprise solutions. * Build AI-powered data analytics and self-service platforms.

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python llm in Alpharetta, GA is $57.23, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 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.

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Python Llm jobs near you
Infographic showing various Python Llm job openings in Alpharetta, GA as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $119,042 per year, or $57.2 per hour.

AI & Microsoft Fabric Engineer

2T Consulting

Redan, GA • On-site

Full-time

Posted 6 days ago

Job description

We are seeking an AI & Microsoft Fabric Engineer to design and develop enterprise AI solutions using Agentic AI, Generative AI, Azure OpenAI, RAG, and Microsoft Fabric. The role focuses on building AI agents, semantic data solutions, and scalable data pipelines to automate workflows and enable intelligent data-driven decisions.

Required Skills
  • Strong experience with Agentic AI, including AI agents, reasoning, planning, memory, tool/function calling, multi-agent orchestration, guardrails, and evaluation.
  • Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI orchestration frameworks.
  • Expertise in LLM/GenAI solutions including Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, prompt engineering, grounding, and hallucination mitigation.
  • Strong Microsoft Fabric experience with:
    • Lakehouse, Warehouse, OneLake
    • Data Factory, Dataflows, Notebooks
    • Power BI semantic models, Direct Lake, Delta Lake
    • Medallion architecture
  • Experience with ontology and semantic modeling, including entities, relationships, taxonomy, metadata, lineage, semantic layers, knowledge graphs, RDF/OWL/SPARQL, or graph databases.
  • Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging, and cloud security.
Roles & Responsibilities
  • Design and implement enterprise-grade Agentic AI solutions using LLMs, RAG, APIs, and enterprise data sources.
  • Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models, applications, and document repositories.
  • Build and optimize RAG pipelines using embeddings, vector/semantic search, structured data grounding, and evaluation frameworks.
  • Develop ontology-driven semantic models supporting business rules, metadata, governance, and data lineage.
  • Design and build Fabric data solutions using Data Factory, Notebooks, Spark/PySpark, SQL, Delta Lake, and medallion architecture.
  • Implement AI governance practices including guardrails, access controls, monitoring, logging, security, and cost optimization.
  • Create technical designs, architecture diagrams, reusable components, and development standards.
  • Collaborate with business and technical teams to translate business processes into semantic data products and AI workflows.
Preferred Qualifications
  • Experience delivering production-grade GenAI and AI automation solutions.
  • Strong Azure cloud experience and enterprise data platform knowledge.
  • Experience with Agile development and production support.

Apply