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Ai Web Developer Jobs in Baltimore, MD (NOW HIRING)

... developers, and domain experts. Effectively present and articulate recommended AI approaches ... Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning ...

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Ai Web Developer information

See Baltimore, MD salary details

$16

$44

$71

How much do ai web developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai web developer in Baltimore, MD is $44.83, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $54.23 per hour, depending on experience, location, and employer.

What is the difference between Ai Web Developer vs Web Developer?

AspectAi Web DeveloperWeb Developer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI/ML frameworksBachelor's in CS or related fields; proficiency in HTML, CSS, JavaScript
Work EnvironmentTech companies, AI-focused projects, collaborative teamsWeb development agencies, corporate websites, freelance
Industry UsageEmerging AI integration in web apps, innovative tech firmsTraditional website and app development across industries

The main difference is that Ai Web Developers specialize in integrating AI and machine learning into websites, requiring knowledge of AI frameworks, whereas Web Developers focus on building and maintaining standard websites using traditional coding skills. Both roles often work in tech environments but serve different project needs.

How does an AI web developer typically collaborate with data scientists and UX designers on projects?

AI Web Developers often work closely with data scientists to integrate machine learning models into web applications, ensuring that models are accessible and performant for end users. Collaboration with UX designers is also common, as developers need to create user interfaces that effectively present AI-driven features or insights. Regular communication and agile workflows help align technical solutions with user needs and business goals, making teamwork and cross-functional meetings a key part of the daily routine.

What are the key skills and qualifications needed to thrive as an AI web developer, and why are they important?

To thrive as an AI Web Developer, you need a solid background in web development (HTML, CSS, JavaScript) combined with knowledge of machine learning concepts and programming languages like Python or Java. Familiarity with frameworks such as TensorFlow, PyTorch, React, and cloud platforms (AWS, Azure) is often required, along with a relevant degree or certifications. Strong problem-solving skills, creativity, and effective communication set exceptional professionals apart in this role. These competencies enable the creation of intelligent, user-friendly web applications that effectively leverage AI technologies to solve real-world problems.

What is an AI web developer?

An AI Web Developer is a professional who specializes in building and maintaining web applications that incorporate artificial intelligence technologies. They use programming languages, frameworks, and AI tools to create websites or web-based applications that can perform intelligent tasks, such as natural language processing, image recognition, or personalized recommendations. Their work often involves integrating machine learning models, handling data processing, and ensuring the seamless interaction between AI components and the user interface. AI Web Developers play a crucial role in bringing smart, interactive features to modern websites and applications.

What job categories do people searching Ai Web Developer jobs in Baltimore, MD look for?

The top searched job categories for Ai Web Developer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Ai Web Developer jobs?

Cities near Baltimore, MD with the most Ai Web Developer job openings:

Infographic showing various Ai Web Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $93,251 per year, or $44.8 per hour.

Full Stack Developer AI Enabled Applications

ICT Mondial Inc

Woodlawn, MD • On-site

Other

Re-posted 6 days ago


Job description

GenAI DeveloperIntroduction:

This role plays a critical part in implementing proof-of-concept solutions in a production environment. The ideal candidate is a hands-on developer who is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks.

Responsibilities:
  • Collaborate with stakeholders to understand and refine customer-provided use cases for Generative AI solutions.
  • Design, develop, and implement end-to-end Proofs of Concept (PoCs) using Azure AI and AWS Bedrock platforms.
  • Build and maintain scalable, secure, and robust web applications integrating Generative AI models and APIs.
  • Develop both front-end and back-end components, ensuring seamless user experience and efficient data processing.
  • Rapidly prototype and iterate on application features based on feedback and evolving requirements.
  • Integrate cloud services and manage deployment pipelines for PoC applications.
  • Document technical designs, development processes, and application architecture for knowledge sharing and future reference.
  • Collaborate with cross-functional teams including data scientists, UI/UX designers, and project managers to deliver high-quality solutions.
  • Conduct code reviews, testing, and debugging to ensure application reliability and performance.
  • Stay current with emerging technologies and best practices in Generative AI and full stack development.
Requirements:Education & Experience Requirements:
  • Master''''''''s degree and 5+ years of experience; OR
  • Bachelor''''''''s degree and 7+ years of experience; OR
  • 13+ years of relevant experience in lieu of a degree
Basic Qualifications:
  • 5+ years of experience in full stack development, including both front-end and back-end technologies.
  • 3+ years of Python development experience; must be comfortable writing clean, efficient code.
  • Hands-on experience developing applications using cloud platforms such as Microsoft Azure and/or Amazon Web Services.
  • Familiarity with Generative AI concepts and experience integrating AI/ML models or APIs into applications.
  • Proficiency in Python, JavaScript (Node.js, React, or Angular), or similar technologies.
  • Experience with RESTful APIs, microservices architecture, and containerization (e.g., OpenShift or Docker).
  • Strong understanding of software development best practices, version control (e.g., Bitbucket), and agile methodologies.
  • Clear and effective communication skills for collaborating with team members, presenting findings, and explaining complex AI concepts to non-technical stakeholders.
Required Skills:
  • Proficiency in Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision.
  • Understanding of fundamental AI and RAG concepts for developing generative AI applications.
  • Commitment to ethical AI development, ensuring adherence to principles of fairness, transparency, accountability, and privacy.
  • Experience with Python web frameworks for building APIs and backend services.
  • Strong experience implementing and consuming RESTful web services.
  • Solid experience with software development best practices including unit testing, continuous integration (Jenkins), and version control (Bitbucket).
  • Experience with containerization and orchestration tools such as Docker and OpenShift.
  • Familiarity with Azure DevOps for automating builds, testing, and deployment processes.
  • Understanding of compliance and security best practices within Azure, especially for handling sensitive data.
Desired Skills (Nice to Have):
  • Familiarity with the Azure OpenAI API and its NLP and generative modeling capabilities.
  • Advanced knowledge of Azure AI services including Azure Machine Learning, Cognitive Services, Databricks, and Synapse Analytics.
  • Ability to preprocess, clean, and manipulate data for RAG ingestion.
  • Hands-on experience deploying generative AI models to production environments on Azure infrastructure.
  • Proficiency in C# and Java.
  • CI/CD best practices and DevOps experience to accelerate quality releases to production.
  • Familiarity with data science tools and frameworks such as Jupyter Labs/Notebooks, pandas, and PyTorch.
  • Awareness of current issues and trends in Generative AI.