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Python Llm Jobs in Georgia (NOW HIRING)

IntelliTrans

AI/ML Engineer

Atlanta, GA · On-site

Hands-on experience with agentic AI concepts , LLM integration patterns, or RAG architecture is preferred. Desired Skills: * Strong proficiency in Python, including experience with FastAPI, pandas ...

IntelliTrans

AI/ML Engineer

Atlanta, GA · On-site

Hands-on experience with agentic AI concepts , LLM integration patterns, or RAG architecture is preferred. Desired Skills: * Strong proficiency in Python, including experience with FastAPI, pandas ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117.90K - $155.40K/yr

... LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights ... Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

... LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights ... Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

... LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights ... Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary ...

Qualibar

Full Stack .NET Engineer

Gainesville, GA · On-site

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 ...

FinQuery

Sr. AI Engineer

Atlanta, GA · On-site +1

$169.75K - $206.20K/yr

... production LLM services * Proven track record of developing, running, and evaluating autonomous agents in a production environment * Strong Python proficiency with the ability to write clean ...

FinQuery

Sr. AI Engineer

Atlanta, GA · On-site

$169.75K - $206.20K/yr

... LLM services * Proven track record of developing, running, and evaluating autonomous agents in a production environment > * Strong Python proficiency with the ability to write clean, maintainable ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ... Python, Java, etc.) * 1+ Years of Experience implementing vector search, semantic search, or ...

FinQuery

Sr. AI Engineer

Atlanta, GA · On-site +1

$169.75K - $206.20K/yr

... production LLM services * Proven track record of developing, running, and evaluating autonomous agents in a production environment * Strong Python proficiency with the ability to write clean ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ... Python, Java, etc.) * 1+ Years of Experience implementing vector search, semantic search, or ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ... Python, Java, etc.) * 1+ Years of Experience implementing vector search, semantic search, or ...

TechniPros, LLC

Sr Gen AI Engineer-

Atlanta, GA · On-site

$100.50K - $138K/yr

... LLM-powered applications. * The ideal candidate should have strong expertise in AI/ML, prompt ... Hands-on experience with Python and AI/ML frameworks * Experience with LangChain, OpenAI, Vertex AI ...

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Python Llm information

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.
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Python Llm jobs near you
AI/ML Engineer

AI/ML Engineer

IntelliTrans

Atlanta, GA • On-site

Full-time

Posted 25 days ago

Job description

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc. (NYSE: ROP) is seeking an Applied AI Engineer to join our team, hybrid in Atlanta, GA.
Position Summary: The Applied AI Engineer a key member of the AI and Data Science Team, responsible for designing, developing, and deploying production AI/ML systems that power IntelliTrans' intelligent freight management platform. This role blends applied AI engineering with data science fundamentals, including building and evaluating agentic AI systems, developing LLM-powered features, designing ML pipelines, and creating intelligent automation workflows. The ideal candidate is comfortable operating across the full spectrum from exploratory data analysis to production AI system deployment and is energized by applying AI to real-world logistics challenges.
Essential Duties and Responsibilities:
AI/ML Engineering and Agentic AI
  • Design, build, and evaluate agentic AI systems using Agentic AI platforms and related frameworks for freight management use cases (e.g., shipment exception handling, real time visibility, ETA intelligence).
  • Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and tool-calling agents integrated into workflows
  • Build and maintain ML model evaluation frameworks with structured metrics, AI-assisted judges, and human feedback loops modern frameworks and DB Catalog tools
  • Contribute to developing browser automation + AI hybrid systems, including data extraction pipelines using Playwright and Claude.

Data Science and Analytics
  • Analyze complex, large-scale freight and logistics datasets to generate actionable business insights for internal stakeholders and customers.
  • Develop and maintain predictive models for supply chain KPIs, including ETA prediction, freight audit anomaly detection, and shipment pattern analysis.
  • Support IntelliTrans' data streaming strategy by designing data pipelines and feature engineering workflows that bridge the System of Record and System of Intelligence layers.
  • Build and iterate on dashboards and analytical tools using SQL, Analytics, and supporting visualization platforms.

Platform and Infrastructure
  • Develop production-grade Python services (FastAPI, async patterns) that integrate ML models and AI agents into the IntelliTrans platform.
  • Collaborate with the architecture team on AWS cloud infrastructure (ECS Fargate, SQS, S3, CloudWatch, Terraform) for model deployment and agent runtime scaling.
  • Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps best practices for model lifecycle management.

Collaboration and Strategy
  • Partner with Product Management to translate the AI agent roadmap into technical specifications and delivery plans aligned with IntelliTrans' 3-5 year data and AI strategy.
  • Use modern Code Assistance tools such as Claude Code to write software.
  • Effectively handle multiple projects simultaneously in a deadline-driven environment.

QUALIFICATIONS AND BACKGROUND
Education: Bachelor's degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related discipline required. Master's degree in a quantitative field (Data Science, AI/ML, Engineering, Mathematics, or Statistics) preferred.
Experience: Minimum 2-4 years of professional experience in AI engineering, ML engineering, or applied data science (combination of internships and professional experience considered).
  • Demonstrated experience building and deploying AI systems, ML models, or LLM-powered applications in a production environment.
  • Experience with modern data platforms, preferably Databricks (Delta Lake, MLflow, Unity Catalog) or equivalent (Snowflake, AWS SageMaker).
  • Experience in supply chain, logistics, freight management, or transportation technology is strongly preferred.
  • Hands-on experience with agentic AI concepts, LLM integration patterns, or RAG architecture is preferred.

Desired Skills:
  • Strong proficiency in Python, including experience with FastAPI, pandas, scikit-learn, and async programming patterns.
  • Solid working knowledge of SQL and experience with relational databases (PostgreSQL preferred, Oracle experience a plus).
  • Experience with cloud platforms, primarily AWS (ECS, S3, SQS, Lambda, CloudWatch, Bedrock).
  • Familiarity with ML experiment tracking, model versioning, and MLOps workflows (MLflow preferred).
  • Proficiency with approaches to statistical analysis, mathematical modeling, and data visualization.
  • Experience creating and deploying AI Agents to production using Agentic Libraries and platforms
  • Knowledge of Infrastructure as Code (Terraform), containerization (Docker), and CI/CD pipelines (GitLab).
  • Experience with observability tools (OpenTelemetry, CloudWatch, structlog) for production ML systems.
  • Familiarity with document intelligence, and multimodal AI capabilities.

Soft Skills:
  • Strong analytical and problem-solving abilities with the capacity to operate across ambiguity.
  • Excellent communication skills, including the ability to present complex technical results to executive and non-technical audiences.
  • Self-directed learner comfortable rapidly adopting emerging AI/ML technologies and frameworks.
  • Collaborative mindset suited to cross-functional, agile team environments.
  • Intellectual curiosity about logistics, supply chain, and freight management domain problems.

Additional Information:
Location:
Atlanta, Georgia (Hybrid)
Reports To:
Data Science Manager
Team:
AI and Data Science Team (cross-functional: developers, architects, data scientists, scrum master, DBA)
Methodology:
Agile / Scrum with PI Planning cadence
Key Tools:
Databricks, Python, AWS, Claude API, FastAPI, Playwright, MLflow, Terraform, Docker, GitLab, SageMaker
IntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirmative action employer.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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