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Entry Level Ai Software Engineer Jobs in Washington

micro1 AI

Software AI Engineer

Rockville, MD · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Arlington, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Sterling, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Herndon, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Ashburn, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Gaithersburg, MD · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Mclean, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Reston, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Silver Spring, MD · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Fairfax, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

New

micro1 AI

Software AI Engineer

Alexandria, VA · On-site

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a ...

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

Entry Level Ai Software Engineer information

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

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

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What is the difference between Entry Level Ai Software Engineer vs Data Scientist?

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

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

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

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

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

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

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

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

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

Entry Level Ai Software Engineer jobs near you
Infographic showing various Entry Level Ai Software Engineer job openings in Washington as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • Remote

Internship

Re-posted 27 days ago

Job description

About KnexusDo you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!Position OverviewDuring your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.Key ResponsibilitiesBuild unique and custom AI solutions for DoD agencies.Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.Qualifications and ExperienceDegree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!Warfare qualification is a plus You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.Defense Logistics Agency (DLA)Naval Surface and Mine Warfighting Development Center (SMWDC)Surface Warfare Officer School (SWOS)Department Head tour as a Surface Warfare Officer (SWO)NAVAIROffice of Naval ResearchNaval Research LabDARPA