LLM Prompt Designer & Optimizer

Socket.dev

Ashburn (VA)

On-site

USD 90,000 - 150,000

Full time

4 days ago
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Job summary

CDIT LLC in the United States seeks a highly creative AI Prompt Engineer to design, test, and optimize prompts for Large Language Models within an Agile team supporting a federal border security mission.

You will translate complex requirements into effective AI interactions, collaborate with cross-functional teams, and contribute to prompt fine-tuning and RAG strategies while ensuring compliance with security and background checks.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 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 Python or JavaScript/TypeScript
  • Familiarity with prompt engineering techniques (few-shot, chain-of-thought, structured outputs, function calling)

Responsibilities

  • Design, test, and optimize prompts for generative AI models (LLMs).
  • Conduct structured testing to compare prompt variations and drive improvement.
  • Collaborate with cross-functional teams to integrate prompts
  • Provide input on model fine-tuning and Retrieval-Augmented Generation (RAG) strategies.
  • Debug unexpected model behaviors, identify root causes in prompt structure or data context.

Skills

Python
JavaScript/TypeScript
LLMs hands-on
Prompt engineering

Education

Bachelor's degree in Computer Science / Software Engineering / IT

Tools

OpenAI GPT series
Llama
Gemini

Job description

CDIT LLC in the United States seeks a highly creative AI Prompt Engineer to design, test, and optimize prompts for Large Language Models within an Agile team supporting a federal border security mission.

You will translate complex requirements into effective AI interactions, collaborate with cross-functional teams, and contribute to prompt fine-tuning and RAG strategies while ensuring compliance with security and background checks.

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