Principal AI Software Engineer - ML, LLMs & Cloud

NetSage; Maryland; On-site; USD 140,000 - 210,000; Full time

Job summary

NetSage is seeking a Principal AI Software Engineer to design and deliver AI/ML solutions that enhance intelligence analysis and mission-focused capabilities.

The ideal candidate will lead the development and operationalization of AI-enabled applications using LLMs, modern software engineering practices, and cloud-native architectures to automate complex workflows. This role requires hands-on expertise in AI/ML, software architecture, and scalable delivery for security-focused missions.

Qualifications

• TS/SCI with polygraph security clearance.
• B.S. in Computer Science or related field; 11 years of relevant experience (alternative: Ph.D. with 7 years, M.S. with 9, A.S. with 13).
• 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 (DNNs, RNNs, attention).
• Experience with ML techniques including classification, clustering, collaborative filtering, semantic search, and information retrieval.
• Experience using Jupyter Notebooks.

Responsibilities

• Design and deliver advanced AI/ML solutions that enhance intelligence analysis and operational decision-making.
• Lead development and operationalization of AI-enabled applications with LLMs and modern software practices.
• Translate emerging AI/ML technologies into scalable, production-ready solutions across missions.

Skills

Java

Python

AI/ML

LLMs

Deep learning

Cloud-native development

Education

B.S. in Computer Science or related field

Ph.D. in related field with 7+ years

M.S. in related field with 9+ years

A.S. with 13+ years

Tools

Jupyter Notebooks

Job description

NetSage is seeking a Principal AI Software Engineer to design and deliver AI/ML solutions that enhance intelligence analysis and mission-focused capabilities.

The ideal candidate will lead the development and operationalization of AI-enabled applications using LLMs, modern software engineering practices, and cloud-native architectures to automate complex workflows. This role requires hands-on expertise in AI/ML, software architecture, and scalable delivery for security-focused missions.