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Remote Python Ai Jobs in Georgia (NOW HIRING)

Worth AI

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 ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

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 ...

Travelport

AI Engineer

Atlanta, GA · On-site +1

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

Third Eye Software

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

This is a W2 contract role with mostly remote work and occasional in-office collaboration ... Hands-on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or ...

Third Eye Software

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

This is a W2 contract role with mostly remote work and occasional in-office collaboration ... Hands-on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or ...

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Remote Python Ai information

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 the most commonly searched types of Python Ai jobs in Georgia? The most popular types of Python Ai jobs in Georgia are:
What are popular job titles related to Remote Python Ai jobs in Georgia? For Remote Python Ai jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in Georgia look for? The top searched job categories for Remote Python Ai jobs in Georgia are:
What cities in Georgia are hiring for Remote Python Ai jobs? Cities in Georgia with the most Remote Python Ai job openings:
Remote Python Ai jobs near you

Senior Python & Agentic AI Engineer

ImagineX Consulting

Atlanta, GA • On-site, Remote

$119K - $160K/yr

Full-time

Posted 10 days ago

Job description

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients - spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.
We're looking for a Senior Software Engineer, AI/ML who brings a strong Python engineering foundation paired with hands-on experience building and deploying Agentic AI systems in production. This is not an "AI-curious" role - we're looking for someone who has shipped AI-powered features, understands the realities of productionizing LLM-driven workflows, and can influence both technical and product direction. This is a 100% remote full-time opportunity.
Key Responsibilities
  • Design, build, and deploy AI-powered and agentic workflows using Python within modern cloud-native environments.
  • Own technical direction for AI/ML components, including architecture, orchestration, model integration, and performance optimization.
  • Partner with product, engineering, and client stakeholders to shape the roadmap for AI-driven and autonomous system capabilities.
  • Evaluate and integrate LLMs, agent frameworks, vector search, embeddings, retrieval pipelines, and tool-use orchestration into production systems.
  • Lead by example through high-quality code, strong engineering practices, and thoughtful technical decision-making.
  • Drive experimentation, prototyping, and rapid iteration to validate AI-powered product ideas.
  • Ensure AI systems are reliable, observable, secure, and maintainable in production environments.
  • Mentor engineers and contribute to a culture of technical excellence and innovation.
Required Experience & Skills
  • Strong Python engineering background with experience building production-grade systems.
  • Demonstrated experience shipping AI/ML or LLM-powered features in production, not just experimentation.
  • Hands-on experience with agentic AI frameworks, LLM APIs, vector databases, retrieval pipelines, or ML workflows.
  • Ability to influence architecture, product direction, and long-term technical strategy.
  • Strong problem-solving skills and comfort operating in high-autonomy environments.
  • Excellent communication skills and the ability to collaborate with cross-functional teams.
  • Experience working in fast-paced, client-facing, or consulting-style environments is a plus.
Nice-to-Have Skills
  • Experience with Azure AI, OpenAI, Anthropic, or other enterprise AI platforms.
  • Background in ML Ops, model evaluation, or production monitoring of AI systems.
  • Experience with distributed systems, event-driven architectures, or cloud-native design.
  • Prior work on financial, payments, or risk-related systems.
Who Thrives Here
  • Engineers who want to own both the technical and product direction of AI features.
  • Builders who are excited to bring agentic AI from concept to production reality.
  • Senior ICs who operate with autonomy and influence without needing formal authority.
  • People who want to work on high-impact, client-facing initiatives with real-world complexity.

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