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Remote Software Engineer Jobs in Dover, NH (NOW HIRING)

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Remote Software Engineer information

See Dover, NH salary details

$64.8K

$150.6K

$209.8K

How much do remote software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote software engineer in Dover, NH is $150,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $176,700.00 per year, depending on experience, location, and employer.

What Does a Remote Software Engineer Do?

As a remote software engineer, you work from home to create and develop systems using programming languages and frameworks. As part of your duties, you design and install software solutions by determining specifications and developing code. You also improve software initiatives by reviewing systems and recommending solutions, often virtually guiding clients through the database, network, and computer processes. By collecting and analyzing issues, you can develop solutions for a variety of technical problems. The remote aspect of this job means you can work from anywhere with a reliable internet connection.

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

To thrive as a Remote Software Engineer, you need strong programming skills, proficiency in software development methodologies, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and project management tools such as Jira is often required. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration. These abilities ensure effective development, seamless teamwork, and productivity in a distributed work environment.

What are some common challenges faced by remote software engineers, and how can they be effectively managed?

Remote software engineers often encounter challenges such as communication barriers, time zone differences, and maintaining work-life balance. These can be effectively managed by utilizing collaboration tools (like Slack or Zoom), setting clear expectations with team members, and establishing a dedicated workspace. Regular check-ins, asynchronous updates, and proactive communication help ensure everyone stays aligned on project goals. Building strong relationships with colleagues through virtual meetings and team-building activities can also foster a supportive remote work environment.

What are Remote Software Engineers?

Remote Software Engineers are professionals who design, develop, test, and maintain software applications from locations outside of a traditional office environment. They collaborate with teams and clients using digital communication tools, allowing for flexible work arrangements. Remote Software Engineers require strong technical and communication skills, as well as the ability to manage their own schedules and work independently. This role is ideal for individuals who are self-motivated and comfortable working in a virtual setting.

What is the difference between Remote Software Engineer vs Remote Web Developer?

AspectRemote Software EngineerRemote Web Developer
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, design, or related field, coding skills
Work EnvironmentCollaborates on software projects, often in teamsFocuses on website and web app development, often in teams
Employer & Industry UsageTech companies, startups, software firmsWeb agencies, tech companies, startups
Search & Comparison IntentOften compared for software development rolesRelated but more focused on web-specific tasks

Remote Software Engineers develop a wide range of software applications, while Remote Web Developers specialize in building websites and web-based applications. Both roles require similar technical skills and often work in similar environments, but their focus areas differ, making this comparison useful for those exploring career options or job opportunities in tech.

More about Remote Software Engineer jobs
What are the most commonly searched types of Software Engineer jobs in Dover, NH? The most popular types of Software Engineer jobs in Dover, NH are:
What cities near Dover, NH are hiring for Remote Software Engineer jobs? Cities near Dover, NH with the most Remote Software Engineer job openings:
Remote Software Engineer jobs near you
Infographic showing various Remote Software Engineer job openings in Dover, NH as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $150,639 per year, or $72.4 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Derry, NH • Remote

Other

Posted 6 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