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Entry Level Ai Engineer Jobs in Washington (NOW HIRING)

CTAC

Junior DevOps Engineer

Falls Church, VA · On-site

$56.25 - $77/hr

... Entry Level Job Type Full-time Location CTAC HQ - Falls Church, VA 22042 US (Primary) Travel 0 ... Experience using AI tools to shorten development cycles and reference issues and solutions * AWS ...

DRB Homes

IT Full Stack Developer (2094)

Rockville, MD · On-site

This is an entry-level position ideal for a developer early in their career who is eager to grow their full stack .NET skills while gaining exposure to modern AI-driven development practices. Duties ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ...

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Entry Level Ai Engineer information

See Washington salary details

$34K

$78.6K

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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.

Junior DevOps Engineer

CTAC

Falls Church, VA • On-site

$56.25 - $77/hr

Full-time

Re-posted 29 days ago

Job description

Job Title
Junior DevOps Engineer
# of Hires Needed
2
Date Needed By
8/26/2026
Category
Information Technology
Education
Bachelor's Degree
Career Level
Entry Level
Job Type
Full-time
Location
CTAC HQ - Falls Church, VA 22042 US (Primary)
Travel
0 - 10%
Job Description
CTAC is seeking DevOps Engineers and Site Reliability Engineers to support one of our government contracts by ensuring the confidentiality, integrity, and availability of information systems. The intent of this role is to work as a Site Reliability Engineer treating operations issues as software issues, primarily focused on creating automations to handle issues, and falling back to runbooks or documentation as necessary.
This role focuses on working within a team of engineers supporting a variety of applications that range from on-premises,cloud, and platform-as-a-service offerings. Individuals hired for this position will work as part of a cross-functional team supporting project teams associated with individual applications and groups of applications.
Primary responsibilities will include configuration and management of application monitoring, logging, and CI/CD systems. Additional tasks will include supporting compliance and maintenance of these applications as extension of application project teams. These tasks will be performed across a variety of technologies and tooling, with a primary focus on AWS cloud hosted applications or migration to AWS cloud, while maintaining systems on-premises as necessary.
This position is hybrid in-person and remote-work with in-person effort expected up to three days a week as part of team work days, planning, and prioritizing a backlog of tasks. Job location is primarily in Northern Virginia, with potential travel to client sites (Washington DC).
Key Responsibilities:
  • Support operations and maintenance of applications running on-premises and in the cloud.
  • Develop automated tooling and scripts to assist in reduction of manual effort in support of applications.
  • Contribute back to project software to improve processes, reduce technical debt, and/or increase visibility and monitoring.
  • Assist in debugging of applications, databases, and middleware across technologies, utilizing AI agents and code tooling to assist.
  • Configure monitoring, alerting, and notification tooling supporting cloud and on-premises applications.
  • Develop cloud-first applications, infrastructure as code, and tooling to improve business processes and/or reduce operations and maintenance efforts.
  • Support and maintain Identity Management Systems at federal client (Okta-based)

Job Requirements
  • 2+ years of experience in development and operations work, preferably supporting government systems
  • Strong experience in at least one programming language, preference for comfort in a variety of scripting, interpreted, and/or compiled languages
  • Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience).
  • Experience with tools for vulnerability scanning, monitoring, and incident response.
  • Ability to document technical processes and architectures clearly.
  • Strong analytical and communication skills.
  • Experience managing linux and windows servers in a hybrid environment
Preferred Qualifications
  • Experience using AI tools to shorten development cycles and reference issues and solutions
  • AWS Cloud Certifications or similar
  • Experience with database management systems, such as: PostgreSQL, MySQL, Oracle, Sybase, etc

Clearance Required: Ability to obtain a Public Trust Clearance
CTAC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, or protected veteran status. VEVRAA Federal Contractor

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