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

RAKS Group LLC

Gen AI Developer

Woodlawn, MD · On-site

... developer. The ideal candidate is passionate about understanding and experimenting with AI ... Build and maintain scalable, secure, and robust web applications, integrating Generative AI models ...

New

Global Alliant Inc

AI Engineer

Rockville, MD · On-site

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

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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 Generative AI Developer

Full Stack Generative AI Developer

Triwave Solutions Inc

Baltimore, MD • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Full Stack Generative AI Developer - Baltimore, MD - In-Person Interview is Mandatory
Position Overview
We are seeking a Full Stack Generative AI Developer to design, build, and prototype end-to-end applications and Proofs of Concept (PoCs) as part of our Software Development team based in Woodlawn, MD. In this role, you will collaborate with cross-functional teams and stakeholders to translate complex use cases into secure, scalable, and robust AI-driven solutions using cutting-edge cloud platforms.

*This is a permanent role expected to be onsite 5 days a week.
Key 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 Concepts (PoCs) using Azure AI and AWS Bedrock.
  • 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 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.
  • Collaborate with 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.
Required Qualifications
  • Master's +5 years, Bachelor's +7 years, or 13+ years of relevant experience.
  • 5+ years of experience in full stack development, including both front-end and back-end technologies.
  • 3+ years of experience writing clean, modern Python and utilizing Python web frameworks.
  • Hands-on experience with AWS and Azure cloud platforms, including Azure DevOps build and test automation.
  • Deep understanding of GenAI and RAG concepts, with experience integrating APIs (Azure OpenAI, AI Search, Azure Vision).
  • Proficient in modern Python, language best practices, and backend web frameworks for API development.
  • Skilled in JavaScript/TypeScript (Node.js, React, or Angular) and building/consuming RESTful microservices.
  • Experience with containerization (Docker, OpenShift) and CI/CD pipelines (Jenkins, Bitbucket).
  • Strong foundation in Agile methodologies, unit testing, debugging, and version control.
  • Knowledge of Azure security best practices for handling sensitive data, alongside a commitment to ethical AI (fairness, privacy, transparency).
  • Strong problem-solving and teamwork skills, with the ability to explain complex AI concepts to non-technical stakeholders.
Preferred Qualifications
  • Familiarity with the Azure OpenAI API for natural language processing (NLP) and generative modeling.
  • Mastery of Azure ML, Cognitive Services, Databricks, and Synapse, with the ability to combine them with Azure OpenAI for scalable enterprise solutions.
  • Hands-on experience deploying GenAI models to production on Azure, utilizing containerization, orchestration, monitoring, and robust security frameworks.
  • Familiarity with Python data tools like Jupyter, Pandas, and PyTorch is a strong plus.
  • Strong understanding of CI/CD best practices to accelerate production releases.
  • Awareness of emerging Generative AI trends and modern Pythonic implementations.
  • Ability to preprocess, clean, and manipulate data for RAG ingestion.
  • Proficiency in C# and Java.

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