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

Sr. AI Software Engineer

Owings Mills, MD · On-site

$116K - $154K/yr

A Role Summary As a Sr. AI Software Engineer on the Global Marketing and Digital Enablement team, you will be responsible for designing, developing, modifying, and implementing innovative solutions ...

AI Software Engineer - Java

Aberdeen, MD · On-site

$130K - $160K/yr

Software Developer - Java Overview As a solutions-driven organization supporting Department of ... Develop and support AI-enabled software components including intelligent automation, predictive ...

Software Developer

Annapolis, MD · On-site +1

$69K - $158K/yr

Share Software Developer The Opportunity: We're looking for a self-motivated, creative software ... Integrate generative AI tools to accelerate development and enhance product design. * Communicate ...

Software Developer

Annapolis, MD · On-site

$69K - $158K/yr

Software Developer The Opportunity: We're looking for a self-motivated, creative software developer ... Integrate generative AI tools to accelerate development and enhance product design. * Communicate ...

Showing results 21-40

Gen Ai Software Developer information

See Baltimore, MD salary details

$47.7K

$111.1K

$164.9K

How much do gen ai software developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for gen ai software developer in Baltimore, MD is $111,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $129,200.00 per year, depending on experience, location, and employer.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

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

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

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

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What cities near Baltimore, MD are hiring for Gen Ai Software Developer jobs? Cities near Baltimore, MD with the most Gen Ai Software Developer job openings:
Infographic showing various Gen Ai Software Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,134 per year, or $53.4 per hour.

AI Software Engineer-Principal

NetSage

Annapolis Junction, MD

$148K - $198K/yr

Full-time

Posted 9 days ago


Job description

At NetSage, we are more than a government contractor-we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.

Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.

Job Description: 

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence analysis and operational decision-making. In this role, you will lead the development and operationalization of advanced AI-enabled applications integrating machine learning, large language models (LLMs), and modern software engineering practices to automate complex workflows and deliver mission-focused capabilities. The ideal candidate for this position will possess deep expertise in AI/ML technologies, software architecture, and cloud-native application development, with a proven ability to translate emerging technologies into scalable, operational solutions. Please consider applying if you meet the following qualifications.

Required Qualifications:

  • TS/SCI with polygraph security clearance.
  • A Bachelor of Science (B.S.) degree in Computer Science or a related field and eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of relevant experience.
  • Proficiency with object-oriented languages like Java and Python.
  • Experience designing and developing AI/ML applications using modern software engineering methodologies.
  • Experience working with LLMs and generative AI technologies.
  • Experience with modern deep learning architectures, including deep neural networks (DNNs), recurrent neural networks (RNNs), and attention-based architectures.
  • Experience with ML techniques, including classification, clustering, collaborative filtering, semantic search, and information retrieval.
  • Experience using Jupyter Notebooks.

Desired Qualifications:

  • Experience implementing retrieval-augmented generation (RAG), Model Context Protocol (MCP), and AI agent frameworks.
  • Experience designing autonomous or agentic AI systems.
  • Strong understanding of statistical modeling, probability theory, Bayesian inference, covariance analysis, and machine learning fundamentals.