LLM Prompt Engineer for Mission-Critical AI

CDIT; Ashburn (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

CDIT LLC in Ashburn, VA is seeking a highly creative AI Prompt Engineer to join a growing AI team supporting a federal border security mission. You will design, test, and optimize prompts for LLMs to produce reliable outputs across mission-use cases in an Agile delivery environment.

The role emphasizes translating complex requirements into effective AI interactions, collaborating with cross-functional teams, and contributing to RAG strategies and model fine-tuning. U.S.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, IT, or related field (equivalent experience considered).
• 0–3 years of professional software development experience or relevant academic project work.
• 1+ year of hands‑on experience with LLMs (e.g., OpenAI GPT series, Llama, Gemini).
• Familiarity with prompt engineering techniques (few-shot, chain-of-thought, structured outputs, function calling).

Responsibilities

• Prompt Design & Optimization — Develop, refine, and iterate on prompts for generative AI models (LLMs) to elicit desired behaviors and outputs.
• Iterative Testing & Analysis — Conduct structured testing to compare prompt variations and drive continuous improvement.
• Collaboration — Work closely with cross‑functional teams to integrate prompts that streamline manual processes.
• Fine‑Tuning & RAG Support — Provide input on model fine-tuning and Retrieval‑Augmented Generation (RAG) strategies.
• Problem Solving — Debug unexpected model behaviors, identifying root causes in prompt structure or data context.

Skills

Prompt design

Structured outputs

Few-shot prompting

Chain-of-thought

Collaboration

Problem solving

Communication

Agile/Scrum

Education

Bachelor's degree in CS/SE/IT

Equivalent experience

Tools

OpenAI GPT models

Llama / Gemini

RAG tooling

Vector databases

Job description

CDIT LLC in Ashburn, VA is seeking a highly creative AI Prompt Engineer to join a growing AI team supporting a federal border security mission. You will design, test, and optimize prompts for LLMs to produce reliable outputs across mission-use cases in an Agile delivery environment.

The role emphasizes translating complex requirements into effective AI interactions, collaborating with cross-functional teams, and contributing to RAG strategies and model fine-tuning. U.S.