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Entry Level Ai Engineer Jobs in Washington (NOW HIRING)

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

... in AI, data engineering, blockchain, and cloud-native software application development." We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and ...

SZNS Solutions LLC

Software Engineer

Reston, VA

... in AI, data engineering, blockchain, and cloud-native software application development." We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and ...

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

... in AI, data engineering, blockchain, and cloud-native software application development." We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and ...

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All JobsAi Engineer JobsEntry Level Ai Engineer JobsEntry Level Ai Engineer Jobs in Washington

Entry Level Ai Engineer information

See Washington salary details

$34K

$78.6K

$133.6K

How much do entry level ai engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level ai engineer in Washington is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

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

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

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

The most popular types of Ai Engineer jobs in Washington are:

What are popular job titles related to Entry Level Ai Engineer jobs in Washington?

For Entry Level Ai Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Washington look for?

The top searched job categories for Entry Level Ai Engineer jobs in Washington are:

What cities in Washington are hiring for Entry Level Ai Engineer jobs?

Cities in Washington with the most Entry Level Ai Engineer job openings:

Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.

Software Engineer - Entry Level

VivSoft Technologies

Herndon, VA • Remote

$70K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

Job Title: Software Engineer - Entry Level
Location: Remote
Clearance Required: Secret  
Position Type: Full-Time 
About the company:  
At VivSoft, we aim to solve complex federal problems using emerging and open technologies in a collaborative and rewarding environment. VivSoft is a diverse team of strategists, engineers, designers, and creators experienced in building high-performance, effective software, with a focus on impactful organisational design and software delivery dynamics. We build secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps. These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies
Position Overview 
VivSoft Technologies is seeking an Entry Level Software Engineer to join the DCSA NBIS DISS/PVAAMS team. Working under the guidance of senior engineers, you will contribute to the development and sustainment of mission-critical personnel vetting software used across the Department of Defense. This is an excellent opportunity to grow your federal IT career in a modern cloud-native DevSecOps environment. 
ROLE SUMMARY
Applies fundamental concepts, processes, practices, and procedures on technical assignments. Performs work that requires practical experience and training. Work is performed under supervision. 0-2 years of work experience.
KEY RESPONSIBILITIES
•         Supports design, coding, testing, debugging, and implementation activities under the guidance of senior developers.
•         Assists in translating project requirements into working software components.
•         Follows established Agile methodologies and principles for software development.
•         Participates in code reviews and applies feedback to improve the quality and functionality of assigned work.
•         Helps identify and resolve basic technical issues and defects under supervision.
•         Documents work performed and contributes to technical documentation for assigned tasks.
•         Communicates status, questions, and blockers to supervisors and team members in a timely manner.
EDUCATION
•         Bachelor's degree in computer science, Information Technology, Software Engineering, or a related field, or equivalent practical experience.
REQUIRED QUALIFICATIONS
•         0-2 years of relevant work experience in software development or a related technical field.
•         Foundational knowledge of at least one programming language.
•         Basic understanding of software development lifecycle (SDLC) concepts.
•         Ability to work effectively under supervision as part of a team.
•         Strong verbal and written communication skills.
•         U.S. Citizenship and ability to obtain and maintain a federal security clearance/suitability determination, as required by the contract.
PREFERRED QUALIFICATIONS & SKILLS
•         Exposure to Agile/Scrum development environments.
•         Familiarity with version control tools such as Git.
•         Coursework or internship experience involving cloud platforms (e.g., AWS, Azure).
•         Willingness to learn new tools, languages, and frameworks as project needs evolve.
CERTIFICATIONS
•         Relevant industry certifications are a plus but not required (e.g., CompTIA Security+, AWS Cloud Practitioner).
Benefits:  
  • Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only)  
  • Life Insurance  
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)  
  • 401K Retirement Plan with employer match  
  • Professional Development Training Reimbursement.

 

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