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Trainee Ai Software Engineer Jobs in Virginia (NOW HIRING)

Nastech Global

AI Software Engineer

Arlington, VA · On-site

AI Software Engineer Location: Arlington, VA (Hybrid - 2 days per week onsite) Clearance Required: Need a US Citizen required Job Type: Direct Hire Top Skills * 4+ years of experience building ...

Booz Allen Hamilton

AI Software Engineer

Arlington, VA

$86K - $198K/yr

AI Software Engineer The Opportunity: As an artificial intelligence (AI) software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop ...

Dark Wolf Solutions

AI Software Engineer - SME

Herndon, VA · On-site

$185K - $240K/yr

Dark Wolf is seeking an AI Software Engineer Subject Matter Expert (SME) to architect, lead, and execute complex, high-assurance AI/ML engineering initiatives. As the primary technical authority, you ...

AIToolboard

AI/Software Engineer - SME

Herndon, VA · On-site

$140 - $220/hr

/AI/Software Engineer - SME# AI/Software Engineer - SMERed Rock Government ServicesHerndon, USFull-time## About the RoleRed Rock Government Services is a leading software engineering company ...

Booz Allen Hamilton

AI Software Engineer

Arlington, VA · On-site

$86K - $198K/yr

AI Software Engineer The Opportunity: As an artificial intelligence (AI)software engineer, you know that goodsoftware is more than just a nice-looking interface and data. Today, you need to develop ...

System One

Lead AI Software Engineer

Mclean, VA · On-site

Lead AI Software Engineer Employment Type: Contract-to-Hire Clearance Requirement: Candidates must be eligible to obtain and maintain a Federal or DoD Public Trust. Approved adjudication is required ...

System One

Lead AI Software Engineer

Mclean, VA · On-site

Lead AI Software Engineer Employment Type: Contract-to-Hire Clearance Requirement: Candidates must be eligible to obtain and maintain a Federal or DoD Public Trust. Approved adjudication is required ...

Booz Allen Hamilton

AI Software Engineer

Arlington, VA · On-site

$86K - $198K/yr

R0247491 AI Software Engineer The Opportunity: As an artificial intelligence (AI) sof tware engineer, you know that good sof tware is more than just a nice-looking interface and data. Today, you need ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · On-site +1

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work ...

Dark Wolf Solutions, LLC

AI Software Engineer

Herndon, VA · On-site

$120 - $160/hr

Dark Wolf is seeking a highly skilled Senior AI Engineer to architect, build, and deploy advanced ... Ability to connect AI models with existing legacy software, APIs, and document management systems ...

Dark Wolf Solutions, LLC

AI Software Engineer

Chantilly, VA · On-site

$120 - $160/hr

Dark Wolf is seeking a highly skilled Senior AI Engineer to architect, build, and deploy advanced ... Ability to connect AI models with existing legacy software, APIs, and document management systems ...

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Trainee Ai Software Engineer information

What does a trainee AI software engineer do?

A Trainee AI Software Engineer is an entry-level professional who assists in designing, developing, and testing artificial intelligence models and applications. They often work under the supervision of senior engineers, learning to implement machine learning algorithms, process data, and contribute to AI projects. This role is ideal for those looking to gain practical experience while building a foundation in AI concepts and software engineering practices. Trainees also collaborate with other team members, participate in code reviews, and may assist in research or prototyping new AI solutions.

What are the key skills and qualifications needed to thrive as a trainee AI software engineer, and why are they important?

To thrive as a Trainee AI Software Engineer, you need a solid understanding of programming languages (such as Python or Java), foundational knowledge of algorithms, data structures, and basic principles of machine learning, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks and tools like TensorFlow, PyTorch, and version control systems such as Git is highly beneficial. Strong analytical thinking, problem-solving ability, and a willingness to learn help you adapt quickly and collaborate effectively on technical teams. These skills and qualities are crucial for successfully contributing to AI development projects and keeping pace with rapidly evolving technology.

What are some common challenges faced by trainee AI software engineers, and how can they be addressed?

Trainee AI Software Engineers often encounter challenges such as understanding complex machine learning algorithms, adapting to rapidly evolving technologies, and bridging the gap between theoretical knowledge and practical implementation. To address these, it's helpful to actively seek mentorship from senior engineers, participate in code reviews, and dedicate time to hands-on projects or Kaggle competitions. Additionally, regularly collaborating with data scientists and software development teams can accelerate your learning and help you gain practical insights into real-world AI applications.

What is the difference between Trainee Ai Software Engineer vs Junior Ai Developer?

AspectTrainee Ai Software EngineerJunior Ai Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldEntry-level, often with a degree or equivalent experience
Work EnvironmentTraining programs, mentorship, supervised projectsReal-world projects, team collaboration, task execution
Employer & Industry UsageInternships, training programs in tech companies, startupsTech companies, AI startups, research labs

The main difference is that a Trainee Ai Software Engineer is in a learning or training phase, focusing on gaining skills under supervision, while a Junior Ai Developer has more hands-on experience and is responsible for developing AI solutions independently within a team.

Can you be a Trainee AI Software Engineer with no experience?

Yes, it is possible to become a Trainee AI Software Engineer with no prior experience, as many entry-level positions focus on potential and willingness to learn. Candidates often need foundational knowledge in programming, such as Python or Java, and may benefit from online courses or certifications in AI and machine learning. Employers may provide on-the-job training to develop necessary skills.

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

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

What cities in Virginia are hiring for Trainee Ai Software Engineer jobs?

Cities in Virginia with the most Trainee Ai Software Engineer job openings:

Trainee Ai Software Engineer jobs near you

AI Software Engineer

Nastech Global

Arlington, VA • On-site

Full-time

Posted 6 days ago

Job description

Job Title: AI Software Engineer
Location: Arlington, VA (Hybrid - 2 days per week onsite)           
Clearance Required: Need a US Citizen required
Job Type: Direct Hire
 
Top Skills
•    4+ years of experience building production-grade applications using languages, including Python, Rust, Go, Scala, or Java
•    2+ years of experience building or maintaining production-grade RESTful APIs or software interfaces
•    1+ years of experience designing, configuring, and implementing software systems in production environments 
•    Experience with CI/CD tools, including GitLab CI or Jenkins, and source control systems, including Git
•    Experience working with Agentic AI solutions
Qualifications
4+ years of experience building production-grade applications using languages, including Python, Rust, Go, Scala, or Java
2+ years of experience building or maintaining production-grade RESTful APIs or software interfaces
1+ years of experience designing, configuring, and implementing software systems in production environments
Experience with CI/CD tools, including GitLab CI or Jenkins, and source control systems, including Git
Experience working with Agentic AI solutions
Experience with Linux systems, networking, and containerization, including Docker or Podman
Knowledge of federal cybersecurity best practices and standards, secure coding, and compliance requirements
Secret clearance
Bachelor’s degree in a CS or Engineering field and 4+ years of experience with software engineering, or 9+ years of experience with software engineering in lieu of a degree
 
Thanks and Regards,
Murali Sharma
202-828-3494
Murali@NasTechglobal.com