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Remote Rf Optimization Engineer Jobs in Bradenton, FL

The HOTH

Principal AI Engineer

Saint Petersburg, FL · On-site +1

$180K - $200K/yr

Other days you'll be optimizing AI pipelines, designing scalable cloud infrastructure, improving ... Remote Tuesdays & Thursdays * Medical, Dental & Vision Insurance * 401(k) with 3% company match

The HOTH

Principal AI Engineer

Saint Petersburg, FL · On-site +1

$180K - $200K/yr

Other days you'll be optimizing AI pipelines, designing scalable cloud infrastructure, improving ... Remote Tuesdays & Thursdays * Medical, Dental & Vision Insurance * 401(k) with 3% company match

Dermafix Spa

Call Center Manager

Saint Petersburg, FL · On-site +1

$3.0K - $5.0K/mo

We are seeking an experienced Remote Call Center Manager to lead our operations, drive performance ... RF), facials, and injectables. • Proven experience in outbound sales marketing strategy ...

Dermafix Spa

Call Center Manager

Saint Petersburg, FL · On-site +1

$3.0K - $5.0K/mo

... RF), facials, and injectables. Proven experience in outbound sales marketing strategy, conversion rate optimization, data analysis, and effective communication Proficiency in outbound dialer systems ...

Kobie Marketing

Operations Manager

Saint Petersburg, FL · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Programming Support: * Support the creation and execution of client programs. * Aid with program ...

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Remote Rf Optimization Engineer information

See Bradenton, FL salary details

$33.5K

$106.7K

$165.9K

How much do remote rf optimization engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote rf optimization engineer in Bradenton, FL is $106,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $126,000.00 per year, depending on experience, location, and employer.

What is a remote RF optimization engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What are the key skills and qualifications needed to thrive as a remote RF optimization engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by remote RF optimization engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are popular job titles related to Remote Rf Optimization Engineer jobs in Bradenton, FL?

For Remote Rf Optimization Engineer jobs in Bradenton, FL, the most frequently searched job titles are:

What cities near Bradenton, FL are hiring for Remote Rf Optimization Engineer jobs?

Cities near Bradenton, FL with the most Remote Rf Optimization Engineer job openings:

Remote Rf Optimization Engineer jobs near you
Infographic showing various Remote Rf Optimization Engineer job openings in Bradenton, FL as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,665 per year, or $51.3 per hour.

Generative AI Automation Engineer - Remote Job

Saint Petersburg, FL • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 25 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply