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Remote Rf Engineer Jobs in Georgia (NOW HIRING)

ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

This position will work closely with senior engineers to support system development ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Overview The Opportunity As a GTM Systems Engineer, you will be a key technical contributor helping ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

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Remote Rf Engineer information

See Georgia salary details

$31.2K

$99.4K

$154.5K

How much do remote rf engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote rf engineer in Georgia is $99,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $117,400.00 per year, depending on experience, location, and employer.

What is a Remote RF Engineer job?

A Remote RF Engineer is a professional who designs, analyzes, and optimizes radio frequency (RF) systems while working remotely. They focus on tasks such as network planning, signal analysis, interference mitigation, and equipment testing for industries like telecommunications, aerospace, and defense. Using specialized software and tools, they ensure effective wireless communication without being physically present at a work site. This role requires knowledge of RF principles, antenna design, and wireless standards. Strong problem-solving skills and experience with RF simulation tools are essential for success in this position.

What are the key skills and qualifications needed to thrive in the Remote Rf Engineer position, and why are they important?

To thrive as a Remote RF Engineer, you need a strong background in radio frequency theory, wireless communication, circuit design, and a relevant engineering degree. Familiarity with RF simulation tools (such as CST, HFSS, or ADS), spectrum analyzers, and certifications like a Professional Engineer (PE) license or relevant vendor certifications are highly valued. Excellent problem-solving, self-management, and clear written and verbal communication skills distinguish top candidates. These skills are crucial as RF Engineers must independently analyze, design, and troubleshoot complex wireless systems while effectively collaborating with distributed teams.

What are the typical daily responsibilities of a Remote RF Engineer?

As a Remote RF Engineer, your daily responsibilities often include designing, simulating, and testing RF circuits and systems, diagnosing performance issues, and optimizing wireless networks from a remote location. You may collaborate virtually with cross-functional teams, prepare technical reports, and participate in project meetings. Many remote RF Engineers also support field teams by analyzing remote test data and providing guidance on troubleshooting. The role requires strong self-discipline and proactive communication to ensure timely project delivery and effective teamwork.
What are the most commonly searched types of Rf Engineer jobs in Georgia? The most popular types of Rf Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote Rf Engineer jobs? Cities in Georgia with the most Remote Rf Engineer job openings:
AI/ML Engineer

$140K - $220K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description


AI/ML Engineer
ID
2026-6946
Category
Engineering
Type
Regular Full-Time
Location : Location
US-GA-Atlanta
Telecommute
Yes
Clearance Requirements
No clearance
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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