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Information Technology 🏢 Full Time ⭐️ Verified

Immediate Hire: Prompt Engineer

Apex AI Solutions
Minneapolis
Estimated Salary
USD 115.000 – USD 145.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Are you ready to shape the future of Generative AI?

Apex AI Solutions is currently seeking a highly skilled Prompt Engineer to join our dynamic team in Minneapolis, MN. In this immediate hire role, you will be at the forefront of integrating Large Language Models (LLMs) into our enterprise products, designing prompts that drive unprecedented accuracy and creativity.

We are looking for a visionary thinker who can bridge the gap between technical AI capabilities and user needs. If you are passionate about Natural Language Processing (NLP) and want to define how humans interact with artificial intelligence, we want to hear from you.

Responsibilities

  • Design & Optimization: Develop, refine, and test complex prompts for various LLMs (e.g., GPT-4, Claude) to maximize output quality and relevance.
  • Model Fine-tuning: Collaborate with data scientists to prepare training data and fine-tune models for specific industry verticals.
  • Evaluation: Establish rigorous evaluation metrics and testing frameworks to measure prompt performance and output hallucination rates.
  • Workflow Integration: Integrate prompt engineering best practices into our software development lifecycle (SDLC) and documentation.
  • Research: Stay abreast of the latest advancements in prompt engineering techniques, including Chain-of-Thought prompting and Retrieval-Augmented Generation (RAG).
  • Collaboration: Work closely with product managers, developers, and UX designers to create intuitive AI-driven user experiences.

Qualifications

  • Experience: 3+ years of experience in writing, editing, or optimizing prompts for AI models.
  • Technical Background: Strong understanding of NLP concepts, machine learning workflows, and Python scripting.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Linguistics, English, or a related field is preferred.
  • Tools: Proficiency with tools such as OpenAI API, LangChain, or Hugging Face.
  • Problem Solving: Demonstrated ability to troubleshoot complex issues and iterate rapidly on solutions.

Required Skills

Prompt Engineering Natural Language Processing LLMs GPT-4 Python SQL Machine Learning Azure OpenAI Data Analysis

Ready to Take This Challenge?

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