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Full Stack Ai Engineer Jobs in Washington (NOW HIRING)

ECS

Senior Full Stack AI Developer

Fairfax, VA · On-site

$125K - $185K/yr

Everforth ECS is seeking an Senior Full Stack AI Developer to work remotely . We are looking for a talented Senior Full Stack AI Developer, who is passionate about development and engineering with ...

Fortegra

Senior Full Stack AI Engineer

Washington, DC · On-site

We are seeking Full Stack Engineers who thrive in fast-moving environments to design, build, and deploy enterprise-grade applications while leveraging AI-driven development tools. Responsibilities ...

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Full Stack Ai Engineer information

See Washington salary details

$50.4K

$152.6K

$215.8K

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

As of Aug 26, 2026, the average yearly pay for full stack ai engineer in Washington is $152,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $179,000.00 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.

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

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What cities in Washington are hiring for Full Stack Ai Engineer jobs?

Cities in Washington with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack 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 $152,641 per year, or $73.4 per hour.

Full stack AI Engineer C2C contract at Washington, DC

Washington, DC • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$120 - $150/hr

Other

Posted 7 days ago

Job description

Job Title : Full stack AI Engineer

Location : Washington, DC (Hybrid)

Duration : 12 Months

Job Description Roles and Responsibilities
  • Proven expertise (8 years) in full stack AI engineering, including design, development, and deployment of AI‑powered applications.
  • Strong proficiency in Python for AI/ML model development, orchestration, and integration.
  • Advanced React skills for building dynamic, GenAI‑enabled user interfaces.
  • Extensive experience with Azure cloud services (e.g., Storage, Azure OpenAI, Azure DevOps, Service bus, Azure Functions, etc).
  • Demonstrated knowledge in implementing Responsible AI practices (explainability, bias mitigation, governance, ethical AI).
  • Hands‑on experience with LLMs (e.g., GPT‑based models), GenAI frameworks, or Copilot tools for AI‑augmented development workflows.
  • Familiarity in cloud‑native development, and CI/CD automation.
  • Strong background in modern application architecture, API design, and secure integration of AI services.
  • Familiarity with agile methodologies, version control (Git/Azure DevOps), and collaborative project delivery in cross‑functional teams.
  • Knowledge in Angular, React, .Net, Azure Full stack, RESTful microservices and Pega.
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