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Remote Robotics Automation Engineer Jobs in Chattanooga, TN

FirstBank

Senior Automation Developer

Chattanooga, TN · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Deploy RPA components including bots, robots, development tools, code repositories and logging ...

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Remote Robotics Automation Engineer information

See Chattanooga, TN salary details

$33.7K

$97.5K

$148.4K

How much do remote robotics automation engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote robotics automation engineer in Chattanooga, TN is $97,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $112,400.00 per year, depending on experience, location, and employer.

What is a remote robotics automation engineer?

A Remote Robotics Automation Engineer is a professional who designs, develops, and maintains automated robotic systems while working remotely, often from a home office or offsite location. They create software and control systems that enable robots to perform tasks in manufacturing, logistics, healthcare, and other industries. These engineers collaborate with teams using digital tools and may also troubleshoot and optimize robotic processes remotely. Their work helps companies improve efficiency, reduce errors, and increase productivity through advanced automation solutions.

How does a remote robotics automation engineer typically collaborate with on-site teams to troubleshoot and optimize robotic systems?

Remote Robotics Automation Engineers often use a combination of virtual communication tools, remote desktop applications, and IoT-enabled monitoring systems to collaborate with on-site teams. They regularly participate in video meetings to discuss system diagnostics, review logs, and guide on-site engineers through troubleshooting procedures. Effective communication and clear documentation are essential, as remote engineers must ensure local staff understand and can implement technical recommendations. This collaborative approach helps maintain system uptime and enables continuous process improvements despite physical distance.

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

To thrive as a Remote Robotics Automation Engineer, you need a solid background in robotics, automation, programming (such as Python or C++), and often a degree in engineering or a related field. Familiarity with robotic operating systems (ROS), PLCs, CAD software, and certifications like Certified Automation Professional (CAP) are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills and qualities are essential for designing, implementing, and maintaining automation solutions efficiently in a distributed work environment.
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Remote Robotics Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chattanooga, TN • Remote

Full-time

Re-posted 13 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