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

Tria Federal

Full Stack Developer (AI)

Woodlawn, MD · On-site +1

Tria Federal is assembling a small team of highly capable Full-Stack Engineers to design and build AI-enabled helpdesks and contact centers to solve real-world problems for federal missions. This ...

GliaCell Technologies

Full Stack Developer

Laurel, MD · On-site

GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer ...

GliaCell Technologies

Full Stack Developer

Laurel, MD · On-site

GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer ...

BigBear.ai

Full Stack Software Engineer

Columbia, MD · On-site

Overview BigBear.ai is seeking a Full Stack Software Engineer to help build the next generation of AI infrastructure that will drive innovation across the customer organization. In this role, you ...

Bigbear.ai

Full Stack Software Engineer

Columbia, MD · On-site

$114K/yr

Overview BigBear.ai is seeking a Full Stack Software Engineer to help build the next generation of AI infrastructure that will drive innovation across the customer organization. In this role, you ...

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Showing results 21-40

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Baltimore, MD

Full Stack Ai Engineer information

See Baltimore, MD salary details

$44.2K

$133.9K

$189.3K

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

As of Aug 7, 2026, the average yearly pay for full stack ai engineer in Baltimore, MD is $133,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $157,000.00 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.

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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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $133,913 per year, or $64.4 per hour.

Software Engineer (Full Stack Focus)

Bigbear.ai

Columbia, MD

$151K - $227K/yr

Full-time

Posted 25 days ago

Job description

Overview

BigBear.ai is seeking a high-caliber Software Engineer thriving in a rapid development and deployment environment. A key focus of this role is the ability to react swiftly to emergent mission opportunities, designing and deploying new capabilities under tight timeframes. You will provide end-to-end support to a cross-functional team automating critical solutions across the entire software stack, including user interfaces, middleware, databases, analytics, and cloud architectures. Collaboration is essential as you work alongside teammates and partners to modernize legacy infrastructure and scale future capabilities. Ultimately, your responsiveness will directly accelerate mission success by leveraging cutting-edge automation and AI-assisted development tools to deliver actionable insights.


Responsibilities

  • Develop end-to-end full-stack solutions, including user interfaces, REST middleware, databases, and analytics to support the ES team's mission
  • Automate new opportunities and capabilities to be seamlessly leveraged by CNO and its partners
  • Maintain and update existing front-end interfaces utilizing JavaScript, HTML/CSS, Bootstrap, and jQuery, while preparing to migrate future front-ends to modern UI libraries like React, Angular, or Vue
  • Optimize existing backends using Python, Asyncio, and Pandas, and occasionally perform updates to legacy Java Map/Reduce and GHOSTMACHINE analytics
  • Manage and deploy services within existing infrastructure environments using MACHINESHOP, Docker, Nginx, and GitLab CI/CD, while planning expansions into C2S and HCI
  • Utilize AI-assisted development tools such as Claude Code, Codex, and Opencode to accelerate code delivery and enhance team development velocity

Qualifications

  • 12+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience
  • Clearance:TS/SCI w/Poly
  • Experience with successful software development on NSANet, demonstrating familiarity with environment ecosystems such as MACHINESHOP, C2S, or GHOSTMACHINE
  • Production-grade software development experience in Python and JavaScript to build robust, full-stack architectures
  • Knowledge of developing user interfaces, REST middleware, databases, and analytics within a cross-functional team framework
  • Experience with collaborative development workflows, showcasing a strong history of teamwork and communication skills
  • Familiarity with git-based version control systems and continuous integration pipelines