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Remote Python Ai Jobs in Fairburn, GA (NOW HIRING)

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/yr

Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ... Develop Python based pipelines for model training, evaluation, and deployment * Apply prompt ...

AI Consultant

Atlanta, GA · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... Python and JavaScript for building and scripting AI applications. · Hands-on experience with ...

AI Engineer | US | Remote Travel obsessed? Big tech fan? Hey, you're in good company. If you want ... Strong programming skills (Python or Java preferred) * Understanding of: * Machine learning basics

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Remote Python Ai information

See Fairburn, GA salary details

$12

$56

$83

How much do remote python ai jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for remote python ai in Fairburn, GA is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are popular job titles related to Remote Python Ai jobs in Fairburn, GA? For Remote Python Ai jobs in Fairburn, GA, the most frequently searched job titles are:
What cities near Fairburn, GA are hiring for Remote Python Ai jobs? Cities near Fairburn, GA with the most Remote Python Ai job openings:

Python engineer

Sidram Technologies

Atlanta, GA • Remote

Contractor

Posted 2 days ago


Job description

Role: Python Engineer – GenAI Agents & MCP Servers

Contract

Location: Remote

Job Description:
 

Key Responsibilities

  • Develop, maintain, and support AI agents for enterprise automation and workflow orchestration.
  • Build, configure, and troubleshoot MCP servers and custom tools for LLM-based applications.
  • Integrate agents with enterprise systems using REST APIs, webhooks, and backend services.
  • Monitor system performance, logs, and tool interactions to ensure high availability.

 

Required Skills

  • Strong experience in Python for tool and agent development.
  • Hands-on knowledge of MCP framework, tool schema design, and server creation.
  • Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex).
  • Experience with API integration, JSON schemas, and backend services.
  • Familiarity with Docker, basic DevOps, and deployment processes.
  • Good troubleshooting skills and ability to work directly with customers onsite.
  • Strong communication and problem-solving skills.