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Remote Python Engineer Jobs in Atlanta, GA (NOW HIRING)

Site Reliability Engineer

Atlanta, GA · On-site +1

$54.75 - $72.75/hr

Globally remote role The role We deploy and run OpenStack, Kubernetes, storage solutions, and open ... Python software development experience * Operational experience in Linux environments * Experience ...

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100.50K - $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 - $146.90K/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 ...

... Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) 4 Years -Required-Experience ... and remote data sources Experience implementing AI guardrails, content filtering, and safety ...

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Stay up-to-date on Instabase features, Machine Learning, LLMs, Python, APIs, and databases ... The actual pay may vary based on factors such as location, experience, and skills. #LI-Remote ...

Senior Azure DevOps Engineer

Atlanta, GA · Remote

$133.10K - $170.90K/yr

You'll enjoy working 100% remote in this full-time position. What You'll Do * Architect, implement ... Strong scripting skills in PowerShell , Bash , or Python . * Hands‑on experience with Docker and ...

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Showing results 1-20

Remote Python Engineer information

See Atlanta, GA salary details

$22.1K

$134.6K

$194.7K

How much do remote python engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote python engineer in Atlanta, GA is $134,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $158,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What are some common challenges faced by Remote Python Engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What does a Remote Python Engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

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

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are the most commonly searched types of Python Engineer jobs in Atlanta, GA? The most popular types of Python Engineer jobs in Atlanta, GA are:
What job categories do people searching Remote Python Engineer jobs in Atlanta, GA look for? The top searched job categories for Remote Python Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Python Engineer jobs? Cities near Atlanta, GA with the most Remote Python Engineer job openings:
Infographic showing various Remote Python Engineer job openings in Atlanta, GA as of May 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 44% Physical, 3% Hybrid, and 53% Remote job distribution, with an average salary of $134,604 per year, or $64.7 per hour.
AI/ML Engineer

$140K - $220K/yr

Full-time

Posted 10 days ago


Job description

Overview

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.

  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

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#LI-Remote

Employment Type: FULL_TIME