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

FAVARH

AI Principal Engineer

Atlanta, GA · On-site +1

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Strong proficiency in programming languages such as Python, TypeScript, or Rust. * Experience with ...

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

Design, build, and scale backend services in Python, Node.js, and TypeScript that support ... Remote or Hybrid Travel Expectations: None Education: Bachelor's or Master's degree in Computer ...

Bigcommerce

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

Design, build, and iterate on AI agents in Go/Python using an orchestrator/sub-agent architecture ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

Humana

Senior Applied AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

... Python. * Comfort thinking in terms of engineering systems, not coding scripts. * Familiarity with ... This position's work style is remote from any of the locations listed below. You must reside in ...

Accordion USA

AI Operations Associate

Atlanta, GA · On-site +1

... remote candidates). This position is not eligible for immigration sponsorship. What You'll Do: AI ... Python proficiency required * Experience utilizing APIs * Bachelor's degree preferred You Are:

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Prolego

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

... AI applications using large language models (LLMs). You will work remotely in a remote-first ... Custom Python Application Development: Go well beyond "prompt engineering" by building end-to-end ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ... Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ... Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components ...

Kobie Marketing

AI Engineer

Atlanta, GA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

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Showing results 21-40

All JobsPython Ai JobsRemote Python Ai JobsRemote Python Ai Jobs in Fairburn, GA

Remote Python Ai information

See Fairburn, GA salary details

$12

$56

$83

How much do remote python ai jobs pay per hour?

As of Aug 7, 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 remote jobs can you get with Remote Python Ai?

Remote Python AI skills can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI research scientist. These positions often involve developing AI models, working with Python libraries like TensorFlow or PyTorch, and can be performed on flexible schedules from anywhere with internet access.

What skills and qualifications are needed to thrive as a remote Python AI developer?

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 is a remote Python AI job?

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 job categories do people searching Remote Python Ai jobs in Fairburn, GA look for? The top searched job categories for Remote Python Ai jobs in Fairburn, GA 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:
Remote Python Ai jobs near you

Enterprise AI Engineer (GCP)

INFT Solutions Inc

Atlanta, GA • On-site, Remote

Contractor

Re-posted 3 days ago

Job description

Job Description: Enterprise AI Engineer (GCP)
Location: Remote / Hybrid Focus: Agentic AI, Data Intelligence, and Enterprise Scale
Role Overview
We are looking for a Principal Enterprise AI Engineer to architect and deliver high-impact AI
solutions within the Google Cloud ecosystem. This role is designed for a technical leader who
can bridge the gap between complex data landscapes and autonomous AI systems. You will lead
the development of Agentic AI frameworks and Data Intelligence platforms that drive
significant digital transformation for global enterprise clients.
Core Responsibilities
 Architect Agentic Systems: Design and deploy multi-agent orchestration frameworks
using Vertex AI Agent Builder, LangGraph, or CrewAI to automate complex, multi-step
business workflows.
 Master RAG Architectures: Build and optimize high-performance Retrieval-
Augmented Generation (RAG) systems, ensuring LLMs are grounded in enterprise data
across BigQuery and Databricks.
 Model Strategy & Optimization: Select and fine-tune models within the Gemini 1.5
family, balancing high-reasoning capabilities (Pro) with high-speed efficiency (Flash) for
production-grade latency.
 Legacy Transformation: Lead the strategic migration of legacy analytics logic (e.g.,
SAS environments) into modern, AI-powered cloud architectures.
 GTM Collaboration: Work closely with Go-To-Market (GTM) leadership to translate
technical AI roadmaps into measurable business value for C-suite stakeholders.
Required Skill Requirements
1. Agentic AI & Orchestration
 Framework Mastery: Expert implementation of LangChain, LangGraph, or
LlamaIndex for stateful, autonomous agent development.
 Advanced Prompting: Proficiency in Chain-of-Thought (CoT), ReAct patterns, and
system instruction optimization to ensure reliable model output.
 Function Calling: Experience building custom tools that allow LLMs to interact
securely with enterprise APIs and SQL databases.
2. Data Intelligence & Engineering
 Hybrid Data Ecosystems: Deep experience integrating Google Cloud AI services with
Databricks (Delta Lake) for unified data intelligence.
 Vector Engineering: Proficiency with Vertex AI Vector Search (formerly Matching
Engine) and embedding strategies for large-scale semantic search.
 Data Flow: Skill in building scalable pipelines using Dataflow or Spark to process
unstructured data for AI readiness.
3. LLMOps & Production Engineering
 Evaluation Frameworks: Ability to build automated "LLM-as-a-judge" evaluation
pipelines to track accuracy, faithfulness, and hallucination rates.
 Cloud Infrastructure: Mastery of the Vertex AI suite (Studio, Model Garden, Pipelines)
and Infrastructure as Code (Terraform).
 Programming: Expert-level Python (FastAPI, Pydantic) and advanced SQL.
4. Strategic Governance
 Responsible AI: Implementation of safety filters, PII redaction, and ethical AI
monitoring.
 Business Translation: Ability to convert technical metrics (latency, token costs) into
business KPIs (ROI, process efficiency).
Qualifications
 Experience: 8+ years in Software Engineering or Data Science, with at least 3+ years
focused on production-grade AI/ML.
 Education: B.S./M.S. in Computer Science, AI, or a related quantitative field.
 Certifications: Google Professional Machine Learning Engineer or Professional Cloud
Architect (preferred).
Technology Stack
 AI/ML: Vertex AI, Gemini 1.5 Pro/Flash, PyTorch.
 Data: BigQuery, Databricks, Vertex Vector Search.
 Orchestration: LangGraph, Vertex AI Agent Builder.
 DevOps: GitHub Actions, Terraform, Vertex AI Pipelines.