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

Tria Federal

Full Stack Developer (AI)

Woodlawn, MD

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 ...

Eccalon LLC

Full Stack Developer

Hanover, MD

Full Stack Developer Location: Hanover, MD- On-site Type: Full-time Clearance: No Clearance ... Integrate LLM and AI capabilities into product features using the Anthropic API (Claude) and other ...

Bigbear.ai

Full Stack Software Engineer

Columbia, MD · On-site

$114K - $228K/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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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 12, 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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What cities near Baltimore, MD are hiring for Full Stack Ai Engineer jobs? Cities near Baltimore, MD 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 Baltimore, MD as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $133,913 per year, or $64.4 per hour.

Cleared Hybrid Full Stack AI Developer (5490)

SMX

Hanover, MD • Hybrid

Full-time

Posted 7 days ago

Job description

cBEYONData a subsidiary of SMX is seeking a Full Stack AI Developer to design, develop, and maintain scalable AI-enabled web applications and cloud-native solutions leveraging AWS technologies. The ideal candidate is a strong systems thinker with experience across front-end development, backend services, cloud infrastructure, and emerging AI technologies. This role will support the development of modern AI-powered applications, integrations, and automation capabilities while ensuring scalability, security, and operational efficiency in a high-tempo environment. This role is hybrid supporting a Hanover, MD program

Essential Duties & Responsibilities:

  • Design, develop, and maintain scalable full-stack web applications using modern frameworks and cloud-native architectures
  • Build and maintain user interfaces using React and related front-end technologies
  • Develop backend services, APIs, serverless functions, and integrations using Python and/or Node.js
  • Integrate AI and machine learning services such as Amazon Bedrock and other large language model (LLM) platforms into enterprise applications 
  • Implement Retrieval-Augmented Generation (RAG), agentic AI workflows, and AI orchestration capabilities
  • Optimize AI model prompts, monitor model performance, and support cost-efficient AI solution design
  • Support deployment automation, monitoring, troubleshooting, and operational sustainment of AI-enabled systems
  • Collaborate with engineers, product owners, and stakeholders to deliver scalable and secure solutions
  • Ensure compliance with cybersecurity requirements and cloud governance best practices utilizing AWS IAM, security guardrails, and related controls
  • Support DevSecOps activities including CI/CD pipelines, infrastructure automation, and cloud cost management

Required Skills & Experience 

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field
  • Minimum 5 years of professional experience in full-stack software development
  • Demonstrated experience developing modern web applications using React or similar (front-end) and Python and/or Node.js (backend) technologies
  • Experience developing and deploying cloud-native applications in AWS environments
  • Demonstrated experience supporting at least one production-grade AI or machine learning implementation
  • Experience integrating APIs, asynchronous processing, and scalable backend services
  • Understanding of software security principles and secure cloud architecture practices
  • Experience with DevSecOps concepts and modern software delivery practices
  • Strong troubleshooting, analytical, and problem-solving skills
  • Excellent written and verbal communication skills
  • CompTIA Security+ certification required

Desired Skills & Experience 

  • Experience with Amazon Bedrock or other enterprise generative AI platforms
  • Experience implementing RAG architectures, AI agents, or orchestration frameworks
  • Familiarity with vector databases, embeddings, and AI evaluation techniques
  • Experience optimizing AI model usage for performance and cost efficiency
  • Familiarity with containerization and orchestration technologies
  • Experience supporting federal or DoD environments

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