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

Parsons

AI/ML Engineer

Aberdeen, MD

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred. * Knowledge of MLOps practices, CI/CD ...

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred. * Knowledge of MLOps practices, CI/CD ...

Dcode Talent LLC

GenAI Engineer

Woodlawn, MD · On-site

Incorporating generative AI models into existing software applications and products. · Research ... Engineering or a related field. · Masters or Doctorate degree may substitute for required ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Baltimore, MD

Generative Ai Developer information

See Baltimore, MD salary details

$18

$45

$100

How much do generative ai developer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for generative ai developer in Baltimore, MD is $45.00, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $54.47 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Baltimore, MD? For Generative Ai Developer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Baltimore, MD look for? The top searched job categories for Generative Ai Developer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Generative Ai Developer jobs? Cities near Baltimore, MD with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Baltimore, MD as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $93,600 per year, or $45 per hour.

Full Stack Developer AI Enabled Applications

Omm IT Solutions

Ellicott City, MD • On-site

Full-time

Re-posted 6 days ago

Job description


PLEASE NOTE:
  • It is a 100% onsite position.
  • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.
  • Selected candidate must be able to obtain and maintain a public trust clearance.

KEY REQUIRED SKILLS:
  • This role will play a critical role in implementing a proof of concept in the production environment and will needs to be a hands-on developer.
  • The ideal candidate is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks.

POSITION DESCRIPTION:
  • 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
SKILL REQUIREMENTS:
BASIC QUALIFICATIONS:
  • Master's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree
  • 5+ years of experience in full stack development, including both front-end and back-end technologies.
  • 3+ years of experience in Python development. You should 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 programming languages such as 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.
  • Excellent problem-solving skills and ability to work collaboratively in a team environment.
  • Clear and effective communication skills are necessary for collaborating with team members, presenting findings, and explaining complex AI concepts to non-technical stakeholders.

REQUIRED SKILLS:
  • Proficiency in utilizing 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 like fairness, transparency, accountability, and privacy in AI applications.
  • Proficient in Python and familiar with current best practices and recent language features.
  • Experience with Python web frameworks for building APIs and backend services.
  • Strong experience in implementing and consuming RESTful web services.
  • Solid experience with software development best practices, including unit testing, continuous integration with tools like Jenkins, and version control with Bitbucket.
  • Experience with containerization and orchestration tools like Docker and OpenShift will be beneficial for deployment and scaling applications.
  • Familiarity with Azure DevOps for automating builds, testing, and deployment processes within Azure.
  • Understanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information.

DESIRED SKILLS:
  • Familiarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable.
  • Mastery of Azure AI services beyond the basics, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics, would make you a valuable asset. This includes understanding how to leverage these services in combination with Azure OpenAI frameworks for enhanced functionality and scalability.
  • Ability to preprocess, clean, and manipulate data for RAG ingestion.
  • Hands-on experience deploying generative AI models into production environments on Azure infrastructure is highly desirable. Understanding deployment considerations such as containerization, orchestration, monitoring, and security ensures smooth integration of AI solutions into real-world applications.
  • Proficiency in C# and Java.
  • Delivery (CI/CD) best practices and use of DevOps to accelerate quality releases to Production.
  • Familiarity with data science tools, libraries, and frameworks (e.g., Jupyter Labs/Notebooks, pandas, PyTorch) is a strong plus.
  • Awareness of issues and trends in Generative AI and Pythonic use of these is desirable.

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