AI Prompt Engineer

CACI•Detroit, MI

3d•Onsite

About The Position

CACI is seeking an AI Prompt Engineer to join a team delivering generative AI solutions in support of U.S. Customs and Border Protection. The role applies AI-powered tools and large language models to improve how frontline personnel access information, make decisions, and perform their work. The work aims to improve efficiency, situational awareness, and access to mission-critical information in support of border protection, lawful trade and travel, and national security. The position is part of CACI's Agile Solution Factory, a collaborative environment focused on rapid innovation, experimentation, and continuous learning. The successful candidate will translate operational challenges into practical AI solutions and work with multiple groups to integrate prompts and streamline manual processes.

Requirements

U.S. citizenship and ability to pass a CBP background investigation, including checks for felony convictions, illegal drug use, and misconduct such as theft or fraud.
Availability 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 1 year of software development experience, internships, or relevant academic project work.
At least 1 year of hands-on experience with large language models (such as OpenAI GPT, Llama, or Gemini) or other generative AI models.
Experience with at least one programming language: Python or JavaScript/TypeScript.
Familiarity with prompt engineering techniques such as 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 drive continuous improvement.
Work with multiple groups to integrate prompts and streamline manual processes.
Stay informed about advancements in large language models, generative AI, and prompt engineering techniques.
Provide input and collaborate on strategies for model fine-tuning and Retrieval Augmented Generation (RAG) to improve accuracy.
Debug unexpected model behaviors and identify root causes in prompt structure, model limitations, or data context.