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Full Stack Ai Engineer Jobs in Laurel, MD (NOW HIRING)

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 ...

Dark Wolf Solutions

Full Stack AI Developer

Mclean, VA · On-site

We are seeking a highly motivated and self-directed professional to fill the role of Full-Stack AI ... Engineer and scale AI-driven platforms to streamline data ingestion, exploration, triage, and ...

Dark Wolf Solutions

Full Stack AI Developer

Mclean, VA · On-site

We are seeking a highly motivated and self-directed professional to fill the role of Full-Stack AI ... Engineer and scale AI-driven platforms to streamline data ingestion, exploration, triage, and ...

Dark Wolf Solutions

Full Stack AI Developer

Mclean, VA · On-site

We are seeking a highly motivated and self-directed professional to fill the role of Full-Stack AI ... Engineer and scale AI-driven platforms to streamline data ingestion, exploration, triage, and ...

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Full Stack Ai Engineer information

See Laurel, MD salary details

$44.3K

$134.1K

$189.5K

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

As of Aug 16, 2026, the average yearly pay for full stack ai engineer in Laurel, MD is $134,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $157,200.00 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.

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 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.

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Cities near Laurel, MD with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you

Full Stack AI Engineer San Francisco CA

AHU Technologies Inc

Washington, DC • On-site

$150K - $190K/yr

Full-time

Re-posted 22 days ago

Job description

Poaition: Full Stack AI Engineer
Visa Status: US Citizens and Green Card Holders (Only)
Location: San Francisco, CA (On-site)
Employment Type: Full-Time
Experience Required: 10+ Years
Primary Tech Stack
  • React
  • TypeScript
  • Node.js and/or Python
  • PostgreSQL
  • Redis
Role Overview
We are seeking a Full-Stack Engineer to help build highly interactive, user-focused products that combine modern web technologies with AI-powered generation workflows. This role involves working across frontend applications, backend services, real-time interactions, and scalable infrastructure to deliver fast, reliable, and intuitive user experiences.
The ideal candidate has experience building production-grade applications, enjoys solving complex workflow challenges, and can contribute across the full technology stack.
Key Responsibilities
  • Design, develop, and maintain production-quality React and TypeScript user interfaces.
  • Build and support backend services using Node.js and/or Python.
  • Develop and integrate REST APIs and real-time communication systems.
  • Design and maintain data models using PostgreSQL and Redis.
  • Improve application performance, reliability, and scalability.
  • Implement monitoring, debugging, logging, and observability best practices.
  • Optimize workflow performance through queue management, retries, error handling, and recovery mechanisms.
  • Collaborate with cross-functional teams to deliver high-quality product features.
  • Participate in testing, deployment, measurement, and continuous product improvement.
Required Qualifications
  • 3+ years of hands-on experience with React and TypeScript in production environments.
  • Strong full-stack development experience with Node.js and/or Python.
  • Experience building and maintaining user-facing applications serving production traffic.
  • Practical experience with REST APIs, WebSockets, PostgreSQL, Redis, and monitoring tools.
  • Experience troubleshooting performance, scalability, and reliability challenges.
  • Strong problem-solving and communication skills.
  • Ability to work on-site in San Francisco.
Preferred Qualifications
  • Experience building interactive applications such as editors, workflow builders, graph-based tools, canvas applications, or other complex user interfaces.
  • Experience integrating long-running services, asynchronous workflows, or generation-based systems.
  • Strong understanding of latency optimization, retries, queue management, and failure recovery.
  • Product-focused mindset with the ability to improve usability, performance, and user experience.
  • Experience working in fast-paced startup or small-team environments.
Bonus Experience
  • Real-time applications and collaboration features.
  • WebSocket-based systems and live state synchronization.
  • Experience with AI-powered products, automation tools, or generation APIs.
  • Familiarity with image, video, audio, or other creator-focused workflows.
  • Interest in modern AI technologies and user-centered product development.
What Success Looks Like
  • Delivering high-quality full-stack features that improve user experience.
  • Building scalable and reliable frontend and backend systems.
  • Maintaining strong performance under real production workloads.
  • Contributing to a fast-moving engineering team through ownership, collaboration, and continuous improvement.