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

RAKS Group LLC

Gen AI Developer

Woodlawn, MD · On-site

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 ...

Deloitte

Oracle Gen AI Manager

Baltimore, MD · On-site

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Stay updated with the latest advancements in AI, NLP, and Gen AI technologies. Required Skills & Qualifications: * Strong programming experience in Python. * Hands-on experience with NLP (Natural ...

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How much do gen ai developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for gen 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 is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for roles in this field.

What is the salary of a Gen AI developer?

The salary of a Gen AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, deep learning, and AI frameworks like TensorFlow or PyTorch tend to earn higher salaries.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing across industries, making it a promising career with opportunities for advancement and specialization.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
What are popular job titles related to Gen Ai Developer jobs in Baltimore, MD? For Gen Ai Developer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Gen Ai Developer jobs in Baltimore, MD look for? The top searched job categories for Gen Ai Developer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Gen Ai Developer jobs? Cities near Baltimore, MD with the most Gen Ai Developer job openings:
Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $93,600 per year, or $45 per hour.

Gen AI Developer

RAKS Group LLC

Woodlawn, MD • On-site

Other

Posted 24 days ago

Job description

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.
Skills Requirements:
15+ years of experience in full stack development, including both front-end and back-end technologies.
12+ 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.
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.
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 the Pythonic use of these is desirable

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