Generative AI Prompt Engineer for LLM Solutions

CACI International Inc.; Ashburn (VA); On-site; USD 53,000 - 106,000; Full time

Job summary

CACI International Inc. seeks a highly creative AI Prompt Engineer to design, test, and optimize prompts for Large Language Models. You will translate complex requirements into effective AI interactions and work with a geographically distributed team in an Agile environment.

The role demands hands-on experience with Python/TypeScript, knowledge of prompt techniques, and collaboration across groups to improve accuracy and efficiency. On-site in Ashburn, VA or Washington, D.C. is expected.

Qualifications

• U.S. citizen with ability to pass CBP background investigation.
• 3-year check for felony convictions.
• 1 year check for illegal drug use.
• 1 year check for misconduct such as theft or fraud.
• On-site in Ashburn, VA and/or Washington, D.C.
• 0–3 years of professional software development experience or internships.
• 1+ year hands-on experience with Large Language Models (LLMs) or generative AI.
• Experience with Python or JavaScript/TypeScript.

Responsibilities

• Design, test, and optimize prompts for LLMs to achieve quality outputs.
• Iterative testing and analysis to drive continuous improvement.
• Collaborate with multiple groups to integrate prompts into workflows.
• Stay updated on LLM advancements and prompt engineering techniques.
• Contribute to strategies for model fine-tuning and Retrieval Augmented Generation (RAG).
• Debug unexpected model behaviors and identify root causes.

Skills

Python

JavaScript/TypeScript

LLMs / Generative AI

Prompt engineering

Agile/Scrum

Data analysis

Education

Bachelor's degree in CS/SE/IT

Tools

OpenAI GPT

Llama

Gemini

Job description

CACI International Inc. seeks a highly creative AI Prompt Engineer to design, test, and optimize prompts for Large Language Models. You will translate complex requirements into effective AI interactions and work with a geographically distributed team in an Agile environment.

The role demands hands-on experience with Python/TypeScript, knowledge of prompt techniques, and collaboration across groups to improve accuracy and efficiency. On-site in Ashburn, VA or Washington, D.C. is expected.