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Generative Ai Entry Level Jobs in Virginia (NOW HIRING)

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Stay current with emerging technologies, including Generative AI, machine learning, cloud computing ...

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Stay current with emerging technologies, including Generative AI, machine learning, cloud computing ...

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Stay current with emerging technologies, including Generative AI, machine learning, cloud computing ...

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Stay current with emerging technologies, including Generative AI, machine learning, cloud computing ...

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Stay current with emerging technologies, including Generative AI, machine learning, cloud computing ...

As an Entry Level Software Developer, you'll work with cross functional teams to design, build ... as generative AI, cloud platforms, automation tools, or DevOps practices - based on project needs ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

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Showing results 1-20

Generative Ai Entry Level information

What does a generative AI entry level professional do?

A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.

What types of projects do generative AI entry level professionals typically work on, and how do they contribute to larger team goals?

As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.

What are the key skills and qualifications needed to thrive as a generative AI entry level professional, and why are they important?

To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.

Can I get a generative AI entry level job with no experience?

Entry-level generative AI jobs often require some foundational knowledge of machine learning, programming (such as Python), and familiarity with AI frameworks like TensorFlow or PyTorch. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such roles.

How to start a career in Generative AI?

To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining certifications in AI or data science can also improve job prospects in this field.

What are the most commonly searched types of Generative Ai jobs in Virginia?

The most popular types of Generative Ai jobs in Virginia are:

What are popular job titles related to Generative Ai Entry Level jobs in Virginia?

For Generative Ai Entry Level jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Generative Ai Entry Level jobs in Virginia look for?

The top searched job categories for Generative Ai Entry Level jobs in Virginia are:

What cities in Virginia are hiring for Generative Ai Entry Level jobs?

Cities in Virginia with the most Generative Ai Entry Level job openings:

Infographic showing various Generative Ai Entry Level job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Entry-Level AI Software Engineer

Mclean, VA โ€ข On-site

$90K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

Weโ€™ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence is seeking a highly motivated Entry-Level AI Software Engineer to join our growing technology team. This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies.

In this role, you will work under the mentorship of senior engineers and AI practitioners to support the design, development, testing, and deployment of software and AI-driven solutions. You will gain handsโ€‘on experience with modern development tools, cloud technologies, data platforms, and machine learning concepts while contributing to missionโ€‘focused federal technology programs.

This role is ideal for individuals who are eager to learn, solve complex problems, and build innovative solutions that create measurable impact.

Responsibilities include, but are not limited to the duties listed below
  • Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
  • Support the development of scalable backend services, APIs, and dataโ€‘driven applications.
  • Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
  • Participate in AI and machine learning solution development, integration, testing, and documentation.
  • Work with cloud platforms and modern software development tools to support application delivery.
  • Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
  • Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
  • Develop and maintain technical documentation, user guides, and engineering artifacts.
  • Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
  • Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.
  • Bachelorโ€™s degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
  • Understanding of software development fundamentals, data structures, algorithms, and objectโ€‘oriented programming concepts.
  • Familiarity with software development methodologies such as Agile or Scrum.
  • Strong analytical thinking and problemโ€‘solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
Preferred Qualifications
  • Internship, research, coโ€‘op, hackathon, or capstone project experience related to software development, AI, machine learning, or data engineering.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Familiarity with Git and version control best practices.
  • Knowledge of APIs, databases, data processing, or cloudโ€‘native architectures.
  • Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.
  • Interest in cybersecurity, DevSecOps, automation, or data engineering.
  • Experience with Pythonโ€‘based development or AI/ML libraries through academic projects.
  • Active Security Clearance.
What We Offer
  • Meaningful work supporting federal missions that positively impact national security, public health, and global initiatives.
  • Handsโ€‘on mentorship from experienced software engineers, AI engineers, and technology leaders.
  • Exposure to cuttingโ€‘edge technologies, including AI, cloud computing, data engineering, and automation.
  • Professional development, training, and certification opportunities.
  • Clear career growth pathways within a rapidly growing technology organization.
Salary Range:$90,000 - $110,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources
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