AI Engineer (RAD)

Nyla Technology Solutions

$150K — $250K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL REQUIRED
  • Proven experience integrating Large Language Models (LLMs) into operational workflows
  • Hands-on experience designing multi-agent systems and prompt engineering
  • Strong capability in designing automated AI solutions to streamline workflows
  • Ability to collaborate with software engineers to integrate AI features into complex architectures
  • Bachelor's Degree in Computer Science or related field, or significant technical experience in lieu of degree
  • 11+ years of hands-on technical software development experience without a degree may be considered.

Responsibilities

  • Collaborate with software and systems engineers to design and prototype AI capabilities
  • Integrate agentic AI solutions into the existing RAD architecture
  • Apply existing LLMs to solve mission-critical challenges
  • Transform manual workflows into automated and efficient reporting processes
  • Develop prompts and agentic networks to enhance intelligence operations

Benefits

  • Comprehensive benefits package including health, dental, and vision insurance
  • Generous paid time off and holiday policy
  • Opportunities for professional development and continuing education
  • Flexible work arrangements and support for work-life balance
  • Discretionary bonus compensation based on performance
Full Job Description
Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

We are seeking a creative, inventive Artificial Intelligence (AI) Engineer in support of the Report Authoring and Dissemination (RAD) team. In this high-impact role, you will bridge AI innovation and operational reality by working side-by-side with software and system engineers to design, prototype, and integrate agentic AI capabilities directly into the existing RAD architecture. Rather than training models from scratch, your focus will be applying existing state-of-the-art Large Language Models (LLMs) to solve real mission challenges. You will construct agentic solutions-coordinated networks of AI agents and engineered prompts-that transform manual workflows into automated, high-throughput reporting, directly empowering intelligence operations.

The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Required Skills

LLM Integration & Application: Proven experience applying existing Large Language Models (LLMs) to practical operational workflows and business logic.

Agentic Systems & Prompt Engineering: Hands-on experience designing and deploying agentic solutions, multi-agent frameworks, and complex prompt engineering strategies.

Workflow Automation: Strong capability to design, prototype, and integrate automated AI capabilities that replace or streamline manual tasks.

Collaborative Software Engineering: Ability to work closely with systems and software engineering teams to seamlessly integrate AI features into existing, complex system architectures.

Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 7+ years of professional software engineering experience OR High School Diploma / GED, PLUS 11+ years of hands-on technical software development experience in lieu of a degree.

Desired Skills

Report Authoring & Dissemination (RAD): Familiarity or experience with intelligence reporting, authoring frameworks, or dissemination workflows.

AI Orchestration Frameworks: Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar agent orchestration tools.

API Development & Integration: Proficiency building and consuming RESTful APIs or web services to support AI backend integration.

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