AI Prompt Engineer

CACI International•Long Beach, CA

13d•$61,100 - $122,200•Onsite

About The Position

CACI is seeking an AI Prompt Engineer to support U.S. Customs and Border Protection (CBP) by developing generative AI solutions. The role applies AI-powered tools and large language models to help frontline personnel access information, make decisions, and carry out their work more efficiently, with improved situational awareness and faster access to mission-critical information. The position is part of CACI’s Agile Solution Factory, a collaborative environment focused on rapid innovation, experimentation, and continuous learning. The engineer translates operational challenges into practical AI solutions and contributes to prompt design, testing, integration, research, model fine-tuning strategies, and Retrieval Augmented Generation (RAG) support. The position requires onsite availability in Ashburn, Virginia and/or Washington, D.C., and up to 10% local travel.

Requirements

Must be a U.S. citizen and able to pass a CBP background investigation, which includes checks for felony convictions over three years and illegal drug use or misconduct such as theft or fraud over one year.
Must be available to work onsite in Ashburn, Virginia and/or Washington, D.C.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field; equivalent experience may be considered in lieu of a degree.
At least one year of software development experience, internships, or relevant academic project work.
At least one year of hands-on experience working with large language models, such as OpenAI GPT, Llama, or Gemini, or other generative AI models.
Experience with at least one programming language, such as Python or JavaScript/TypeScript.
Familiarity with prompt engineering techniques, including few-shot prompting, chain-of-thought, structured outputs, and function calling.

Nice To Haves

Problem-solving skills and a data-driven approach to experimentation and optimization.
Written and verbal communication skills, including the ability to explain complex technical concepts clearly.
Ability to work independently and collaboratively in a fast-paced, evolving environment.
Exposure to RAG concepts, including embeddings and vector databases.
Understanding of AI safety considerations, such as prompt injection, bias, and data privacy.
Exposure to Agile/Scrum development environments.

Responsibilities

Develop, refine, and iterate on prompts for generative AI models to elicit desired behaviors, responses, and creative outputs.
Test prompt variations, analyze results, and use findings to drive continuous improvement.
Work with multiple groups to integrate prompts and streamline manual processes.
Stay current with advancements in large language models, generative AI, and prompt engineering techniques.
Provide input and collaborate on model fine-tuning and Retrieval Augmented Generation (RAG) strategies to improve accuracy.
Debug unexpected model behaviors by identifying causes related to prompt structure, model limitations, or data context.