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Entry Level Software Engineer Remote Jobs in Virginia

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Expertise in computer architecture and design, software engineering concepts, and AI/ML application ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

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Entry Level Software Engineer Remote information

What does an entry level software engineer do when working remotely?

An entry level software engineer working remotely is responsible for writing and testing code, fixing bugs, and collaborating with team members through online tools. They often work on assigned tasks or projects under the guidance of more experienced engineers. Communication, time management, and self-motivation are important skills for remote work. Entry level engineers may also participate in code reviews, attend virtual meetings, and learn new technologies as part of their development.

What are the key skills and qualifications needed to thrive as an entry level software engineer remote?

To thrive as an Entry Level Software Engineer (Remote), you need a solid understanding of programming languages (like Python, Java, or JavaScript), computer science fundamentals, and typically a relevant degree or coding bootcamp certification. Familiarity with version control tools (such as Git), cloud platforms, and development environments is highly valued. Strong problem-solving abilities, self-motivation, and clear communication skills help remote engineers collaborate effectively and manage independent tasks. These skills and qualities enable productivity, code quality, and seamless teamwork in a distributed work environment.

How does an entry level remote software engineer typically collaborate with their team?

As an entry level remote software engineer, you'll primarily use digital collaboration tools like Slack, Zoom, and project management platforms such as Jira or Trello to communicate with your team. Regular video meetings, code reviews, and pair programming sessions help maintain connection and ensure you receive guidance and feedback. You'll often work closely with senior engineers and product managers, contributing to group projects while also having opportunities to take ownership of smaller tasks. Clear communication and proactive participation are key to thriving in this remote, team-oriented environment.

What is the difference between Entry Level Software Engineer Remote vs Junior Software Developer?

AspectEntry Level Software Engineer RemoteJunior Software Developer
Required CredentialsBachelor's in CS or related field; some certificationsBachelor's in CS or related field; minimal certifications
Work EnvironmentRemote, collaborative teams, entry-level projectsRemote or on-site, entry-level tasks, team-based
Employer & Industry UsageTech companies, startups, IT servicesSoftware firms, tech startups, consulting
Search & Comparison IntentUnderstanding entry-level remote roles in software engineeringComparing junior developer roles with similar titles

Entry Level Software Engineer Remote and Junior Software Developer roles often require similar educational backgrounds and work environments. The main difference lies in job titles used by employers, with 'Software Engineer' emphasizing a broader engineering scope, while 'Junior Developer' may focus more on coding tasks. Both roles are suitable for recent graduates seeking remote opportunities in tech industries.

Is 25 too late to become an entry level software engineer remote?

Age is not a barrier to becoming an entry-level software engineer remotely. Many employers value skills, coding ability, and relevant experience over age, and individuals can start learning programming languages and building portfolios at any age to qualify for such roles.

What are the most commonly searched types of Software Engineer Remote jobs in Virginia?

The most popular types of Software Engineer Remote jobs in Virginia are:

What are popular job titles related to Entry Level Software Engineer Remote jobs in Virginia?

For Entry Level Software Engineer Remote jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Software Engineer Remote jobs in Virginia look for?

The top searched job categories for Entry Level Software Engineer Remote jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Software Engineer Remote jobs?

Cities in Virginia with the most Entry Level Software Engineer Remote job openings:

Entry Level Software Engineer Remote jobs near you
Infographic showing various Entry Level Software Engineer Remote job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Richmond, VA • 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