AI Prompt Engineer

Posted Yesterday
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Ashburn, VA, USA
In-Office
Junior
Other
The Role
Design, test, optimize, and debug prompts for large language models supporting federal border security missions. Translate mission requirements into reliable AI interactions, evaluate prompt variations, support fine-tuning and RAG strategies, and collaborate with cross-functional Agile teams to integrate AI solutions and streamline manual processes.
Summary Generated by Built In

CDIT LLC is seeking a highly creative, technically proficient, and detail-oriented AI Prompt Engineer to join a growing AI team supporting a federal border security mission. This role is responsible for designing, testing, and optimizing prompts for Large Language Models (LLMs) to produce high-quality, reliable outputs across a range of mission use cases — translating complex requirements into effective AI interactions, within an Agile delivery environment.

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.

Required Qualifications

•     Must be a U.S. Citizen with the ability to pass a federal background investigation (criminal, drug use, and misconduct checks).

•     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)

•     Proficiency in at least one programming language (Python, JavaScript/TypeScript)

•     Familiarity with prompt engineering techniques (few-shot, chain-of-thought, structured outputs, function calling)

Desired Qualifications

•     Strong, data-driven problem-solving skills

•     Strong written and verbal communication skills

•     Exposure to RAG concepts, embeddings, and vector databases

•     Understanding of AI safety considerations (prompt injection, bias, data privacy)

•     Exposure to Agile/Scrum environments

CDIT LLC is an Equal Opportunity Employer. This position supports a federal government client and requires the ability to obtain and maintain a background investigation as a condition of employment.



Skills Required

  • U.S. citizenship and ability to pass a federal background investigation
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field; equivalent experience may be considered
  • 0-3 years of professional software development experience or relevant academic project work
  • At least 1 year of hands-on experience with large language models, such as OpenAI GPT, Llama, or Gemini
  • Proficiency in at least one programming language: Python, JavaScript, or TypeScript
  • Familiarity with prompt engineering techniques, including few-shot prompting, chain-of-thought, structured outputs, and function calling
  • Strong data-driven problem-solving skills
  • Strong written and verbal communication skills
  • Exposure to Retrieval-Augmented Generation, embeddings, and vector databases
  • Understanding of AI safety considerations, including prompt injection, bias, and data privacy
  • Exposure to Agile or Scrum environments
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The Company
HQ: Toronto
115 Employees
Year Founded: 2003

What We Do

CDIT, headquartered in Slidell, LA, has provided technical services for both commercial and Federal customers for the past 18 years. We deliver high-value services with our Agile integrated approach, consisting of Lean-Agile frameworks, process maturity, best practices combined with information security and quality management standards. This integrated approach is paired with the principles of accountability, collaboration, and delivery established our core CDIT execution model. This model allows us to successfully deliver and perform on small to large-scale programs remotely and on-site. CMMI III DEV | ISO 9001:2015 | ISO 27001:2015

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