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Full Stack Ai Engineer Jobs in Washington, DC (NOW HIRING)

Quevera LLC

Full Stack Developer

Herndon, VA · On-site

In this role, you will develop innovative full stack applications while integrating Generative AI ... Working alongside a collaborative engineering team, you will develop new application features ...

JCD Staffing

Full Stack Developer

Washington, DC · On-site

Full Stack Developer, AI-Focused Location: Washington, DC Schedule: Hybrid, onsite 3 days per week Clearance Required: Active Secret Employment Type: Full-Time We are seeking a cleared Full Stack ...

Swarmint LLC

Full Stack Developer

Arlington, VA · On-site

SwarmInt is a defense AI startup developing computer vision and edge AI capabilities for military ... Join our engineering team as a Full Stack Developer building applications that power AI-driven ...

Techno Talent Inc.

Full Stack Developer

Mclean, VA · On-site

As an Senior Software engineer on our team, you''ll be expected to lead by example, write great ... with leveraging AI technology in improving productivity as well as the incorporating in the ...

N2IA Technologies

Software Developer Senior

Washington, DC · Remote

$55.75 - $73.75/hr

OverviewN2IA is seeking a Senior Software Developer with strong full-stack AI development experience to build and maintain scalable AWS-based web applications. The ideal candidate has expertise in ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Washington, DC

Full Stack Ai Engineer information

See Washington, DC salary details

$50.4K

$152.5K

$215.6K

How much do full stack ai engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for full stack ai engineer in Washington, DC is $152,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $178,800.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Washington, DC?

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What job categories do people searching Full Stack Ai Engineer jobs in Washington, DC look for?

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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $152,517 per year, or $73.3 per hour.

.NET Full Stack Engineer

eSolutionsFirst, LLC

Vienna, VA • On-site

Other

Posted 14 days ago

Job description

Hi,
We currently have an exciting opportunity for a .NET Full Stack Engineer ( AI-assisted) with one of our direct clients. This is an onsite position based in Vienna, VA or Southfield, MI.
Please let me know if you d be interested in discussing this opportunity further.
Job Title: .NET Full Stack Engineer ( AI-assisted)
Job Type: Contract
Location: Vienna, VA or Southfield, MI (Onsite)

Job Summary: We are looking for an experienced Senior.NET Full Stack Engineer with a strong background in designing, developing, and deploying enterprise-grade applications using the Microsoft technology stack. The ideal candidate should have hands-on experience leveraging AI-powered developer tools to accelerate software development, improve code quality, automate testing, and enhance productivity. The candidate should be proficient in C#, .NET Core/.NET 8+, ASP.NET Core, Azure Cloud, and modern software engineering practices while effectively utilizing AI-assisted development tools such as GitHub Copilot, Cursor AI, ChatGPT, Claude, Gemini, Amazon Q, Codex, Windsurf, or similar platforms.
Required Qualifications:
  • 8+ years of experience developing enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core
  • Strong expertise in building REST APIs, Microservices, and distributed applications
  • Experience with Entity Framework Core, LINQ, Dependency Injection, asynchronous programming, and SOLID principles
  • Strong knowledge of SQL Server, Azure SQL, database design, and query optimization
  • Hands-on experience with Azure Cloud services, including:
 Thanks & Regards
Abhishek Kumar
Mobile : Ext 483
Email:

         

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