AI Software Developer Jobs in Maryland

About the role

CyberStorm Defense is hiring a senior engineer to extend an open-source scientific data curation platform built on Python, Django and MongoDB so it can specify, generate and measure agentic AI workflows. You will connect the platform to large language models through REST APIs, design schemas that describe agentic AI systems, prototype multi-agent applications with ZeroMQ messaging, and capture LLM sessions and traces as analyzable datasets.

What you will do

• Extend the Configurable Data Curation System (CDCS) with LLM connectivity and agentic AI specification templates.
• Prototype an agentic application using ZeroMQ, and integrate it with an ongoing LLM demonstration.
• Write design documents, schemas and tested code, and present demonstrations to research staff.

Minimum qualifications (all required)

• M.S. in computer science or a related field.
• 10+ years in information technology or standards development.
• 5+ years each in: data exchange standards (XML and JSON), Unified Modeling Language, and software testing.
• 4+ years each in: Java and Python; JavaScript; XML, XML Schema and XSLT; JSON and JSON Schema; HTML5 and CSS; the Django framework; MongoDB; and working across Linux, Windows and macOS.
• 7+ years with databases.
• 2+ years each in: Docker; GitLab and GitHub; the CDCS platform (or its MDCS/NMRR components); ZeroMQ; and LLM experimentation and implementation.
• Able to pass a federal NACI background check.

Strong signals: contributions to NIST's CDCS, MDCS or NMRR repositories on GitHub; prior work at NIST or a materials-data program; published agentic AI or LLM evaluation work.

How to apply: Send your résumé, a link to relevant GitHub work, and a yes/no for each minimum qualification. This position is contingent upon contract award.

Job Summary Location: Gaithersburg, MD (federal research campus)
As a Senior Research Software Engineer, CDCS and Agentic AI (Contingent), you’ll build and advance research software that enables complex AI and computational research. You’ll partner with researchers to translate questions into scalable systems, develop and evaluate AI models, and move promising methods toward deployment. This role combines hands-on software development with machine learning research, quantitative applied research, and research and development.

Responsibilities

• Design, implement, test, and maintain research software, algorithms, and distributed systems for large-scale AI models and agentic applications.
• Develop, train, evaluate, and deploy AI models using machine learning frameworks such as TensorFlow and PyTorch; apply deep learning, generative AI, natural language processing, computer vision, unsupervised learning, and data mining as appropriate.
• Analyze research data using statistical analysis, SQL, and methods including signal processing; support work spanning robotics and quantum engineering.
• Collaborate with research teams to shape experiments, interpret results, and communicate findings. Your impact: Reliable, scalable research tools help researchers test ideas efficiently and turn findings into useful advances.
• Document and share results through technical reports, conference papers, and papers in peer-reviewed journals.

Requirements

• Degree or equivalent background in computer science or a related field, with experience in a research setting and software development.
• Demonstrated experience in machine learning, research, model training, model deployment, and machine learning/AI-based analysis.
• Strong programming skills in Python and experience with Linux; familiarity with AWS and one or more of Java, R, C#, C, C++, or MATLAB.
• Knowledge of algorithm design, distributed systems, and machine learning frameworks; experience developing large-scale AI models is preferred.
• Research publications and experience in quantitative applied research are preferred.

Pay: Up to $145,000.00 per year

Education:

• Master's (Required)

Ability to Commute:

• Gaithersburg, MD (Preferred)

Work Location: In person