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Remote Field Service Engineer Jobs in Baltimore, MD

Beth Page tech

Software Engineer

Maryland City, MD · Remote

Remote Type : Full Time : We are seeking a motivated Junior Software Engineer to join our team in ... Bachelor's degree in Computer Science or a related field. * Basic programming experience (e.g ...

Structural

Structural Engineer

Columbia, MD · On-site +1

We provide specialty contracting services through our contracting companies, and state-of-the-art ... Opportunities are available in our Chicago, Columbia, and Houston offices, with remote options in ...

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All JobsField Service Engineer JobsRemote Field Service Engineer JobsRemote Field Service Engineer Jobs in Baltimore, MD

Remote Field Service Engineer information

See Baltimore, MD salary details

$36.3K

$70.8K

$104.8K

How much do remote field service engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote field service engineer in Baltimore, MD is $70,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $84,000.00 per year, depending on experience, location, and employer.

What is a remote field service engineer?

A Remote Field Service Engineer is a technical professional who provides installation, maintenance, repair, and support services for equipment or systems, often in locations away from their main office. Unlike traditional field engineers, they can diagnose and resolve many issues remotely using digital tools, phone, or video support, reducing the need for on-site visits. This role requires strong technical knowledge, problem-solving skills, and the ability to communicate clearly with clients. They may also travel to customer sites when remote solutions are not feasible.

What skills and qualifications are needed to be a remote field service engineer?

To thrive as a Remote Field Service Engineer, you need a strong background in engineering or electronics, troubleshooting expertise, and typically a relevant technical degree or certification. Familiarity with diagnostic tools, remote monitoring systems, industry-specific software, and sometimes certifications like CompTIA A+ or OEM-specific credentials is essential. Strong communication, problem-solving, and self-motivation are standout soft skills for this role. These skills enable timely issue resolution, effective remote support, and high customer satisfaction across diverse and dispersed environments.

How do remote field service engineers communicate and coordinate with on-site teams and clients?

Remote Field Service Engineers rely heavily on digital communication tools such as video conferencing, instant messaging, and remote diagnostic platforms to stay connected with on-site teams and clients. Coordination often involves scheduled check-ins, detailed documentation, and real-time troubleshooting to ensure smooth service delivery. Building strong communication skills and being proactive about updates are essential, as you'll frequently guide on-site personnel through technical tasks and problem resolution. This collaborative approach helps maintain service quality and fosters trust, despite the physical distance.

What is the difference between Remote Field Service Engineer vs Field Service Technician?

AspectRemote Field Service EngineerField Service Technician
CredentialsTechnical certifications, engineering backgroundTechnical certifications, vocational training
Work EnvironmentRemote troubleshooting, on-site visits, remote supportOn-site service, installation, maintenance
Industry UsageTechnology, telecommunications, industrial equipmentAppliances, HVAC, machinery

The Remote Field Service Engineer typically handles remote diagnostics and support, often with some on-site visits, focusing on complex systems. Field Service Technicians usually perform on-site repairs and maintenance of equipment. Both roles require technical skills and certifications, but their work environments and responsibilities differ, with the engineer often working remotely and the technician primarily on-site.

What are the most commonly searched types of Field Service Engineer jobs in Baltimore, MD?

The most popular types of Field Service Engineer jobs in Baltimore, MD are:

What are popular job titles related to Remote Field Service Engineer jobs in Baltimore, MD?

For Remote Field Service Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Field Service Engineer jobs in Baltimore, MD look for?

The top searched job categories for Remote Field Service Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Field Service Engineer jobs?

Cities near Baltimore, MD with the most Remote Field Service Engineer job openings:

Remote Field Service Engineer jobs near you
Infographic showing various Remote Field Service Engineer job openings in Baltimore, MD as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $70,767 per year, or $34 per hour.

Generative AI Automation Engineer - Remote Job

Towson, MD • Remote

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

Full-time

Re-posted 22 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