Senior AI Engineer – LLMs for National Security

General Dynamics Information Technology, Inc.

Chantilly (VA)

On-site

USD 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive benefits
401K with company match
Paid time off

Job summary

General Dynamics Information Technology, Inc. is seeking an AI Engineer to support national security activities in Chantilly, VA.

You will design and deploy AI-driven solutions, train models, and collaborate with data scientists and software engineers to deliver impactful capabilities. The role requires TS/SCI w/ Polygraph, 5+ years of related experience, and strong Python/Java skills, with familiarity in NLP, LLMs, and agentic AI frameworks.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related discipline.

Responsibilities

  • Develops AI-driven solutions to solve complex problems and enhance business processes.
  • Collects, cleans, and preprocesses data for model training and evaluation.
  • Trains and optimizes large language models; evaluates performance and iterates on design.
  • Extracts features to improve model generalization and performance.
  • Monitors production model performance and implements automated monitoring.
  • Documents designs and best practices for AI solutions.
  • Collaborates with data scientists, software engineers, product managers and stakeholders to deliver impactful AI solutions.

Skills

Machine Learning
Large Language Models
Python
Java
NLP
Computer Vision
LangChain
Pydantics
CrewAI

Education

Bachelor's degree in Engineering/CS

Tools

LangChain
Pydantics
CrewAI

Job description

General Dynamics Information Technology, Inc. is seeking an AI Engineer to support national security activities in Chantilly, VA.

You will design and deploy AI-driven solutions, train models, and collaborate with data scientists and software engineers to deliver impactful capabilities. The role requires TS/SCI w/ Polygraph, 5+ years of related experience, and strong Python/Java skills, with familiarity in NLP, LLMs, and agentic AI frameworks.

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