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Python Ai Developer Jobs in Georgia (NOW HIRING)

YO AI Labs

GIS/Geospatial Expert

Atlanta, GA · Remote

$80 - $100/hr

Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. * Strong Python programming experience and familiarity with ...

Varsity Tutors

Python Tutor

Athens, GA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Varsity Tutors

Python Tutor

Atlanta, GA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Varsity Tutors

Python Tutor

Sandy Springs, GA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Spruce Infotech

Agentic Gen AI Engineer

Alpharetta, GA · On-site

Key Responsibilities • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang ... with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver ...

Varsity Tutors

Python Tutor

Duluth, GA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

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How much do python ai developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python ai developer in Georgia is $49.50, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $56.20 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What are popular job titles related to Python Ai Developer jobs in Georgia?

For Python Ai Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Python Ai Developer jobs in Georgia look for?

The top searched job categories for Python Ai Developer jobs in Georgia are:

What cities in Georgia are hiring for Python Ai Developer jobs?

Cities in Georgia with the most Python Ai Developer job openings:

Python Ai Developer jobs near you
Infographic showing various Python Ai Developer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $102,958 per year, or $49.5 per hour.

Lead Software Engineer (Apigee)

Atlanta, GA • On-site

KR Elixir, Inc.
1 - 10 employees
Learn more about KR Elixir, Inc.external

Other

Posted 21 days ago

Job description

Title: Lead Software Engineer (Apigee)
Location: Atlanta, GA Onsite
Relocation: Yes
Contract Duration: 12 Months+
Mandatory: Apigee, AI/ML, Python, and Google Cloud Platform (Google Cloud Platform).
Job Summary
We are looking for a skilled Software Engineer with strong experience in Apigee, AI/ML, Python, and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have a strong software engineering background and experience designing, developing, integrating, and supporting scalable cloud-based applications and APIs.
This is an onsite position in Atlanta, GA, and candidates should be comfortable working onsite throughout the engagement.
Mandatory Skills
  • Strong hands-on experience with Apigee
  • Strong programming experience with Python
  • Hands-on experience with AI/ML technologies
  • Strong experience with Google Cloud Platform (Google Cloud Platform)
  • Strong understanding of API development, integration, and management
  • Experience developing scalable and production-ready applications
  • Strong software engineering and problem-solving skills
Key Responsibilities
  • Design, develop, test, and maintain scalable software applications.
  • Develop and integrate APIs using Apigee and related API management technologies.
  • Build Python-based applications, services, and automation solutions.
  • Develop and integrate AI/ML capabilities into software solutions.
  • Design and implement cloud-based solutions using Google Cloud Platform services.
  • Collaborate with architects, developers, data scientists, and other technical teams.
  • Troubleshoot application, API, and cloud-related issues.
  • Ensure applications meet performance, scalability, security, and reliability requirements.
  • Participate in code reviews, testing, deployment, and production support.
  • Document technical designs, implementations, and processes.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
  • Strong professional experience in software development.
  • Hands-on experience with Apigee, Python, AI/ML, and Google Cloud Platform.
  • Strong understanding of REST APIs, microservices, and cloud architecture.
  • Experience working in Agile/Scrum development environments.
  • Excellent communication and collaboration skills.
  • Strong analytical and problem-solving abilities.
Preferred Qualifications
  • Experience with CI/CD and DevOps practices.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of Google Cloud Platform services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Vertex AI.
  • Experience integrating machine learning models into production applications.
  • Experience with API security, authentication, authorization, and governance.

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