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Prompt Engineer | Equipment Provided | Kansas City, MO

Apex Innovation Labs
Kansas City
Estimated Salary
USD 120.000 – USD 160.000
Live Update
26 Juli 2026
Deadline
26 Jul 2027

Job Description

We are seeking a visionary Prompt Engineer to lead our AI initiatives in Kansas City. At Apex Innovation Labs, we believe in empowering our talent with the best tools in the industry. That is why we offer fully provided equipment, including high-performance workstations, noise-canceling headsets, and premium software licenses, so you can focus purely on crafting the future of AI.

As a core member of our technical team, you will bridge the gap between human creativity and machine intelligence, driving the development of next-generation AI applications.

Responsibilities

  • Design, develop, and optimize complex prompts for Large Language Models (LLMs) to achieve specific business outcomes.
  • Conduct A/B testing and iterative refinement of prompt strategies to maximize model accuracy and relevance.
  • Analyze output data to identify patterns, biases, and areas for improvement in prompt structures.
  • Collaborate with data scientists and software engineers to integrate prompt-driven workflows into production systems.
  • Train and mentor junior engineers on advanced prompt engineering techniques and best practices.
  • Stay updated on the latest AI research and advancements to continuously evolve our prompting methodologies.

Qualifications

  • Proven experience as a Prompt Engineer or similar role within a tech environment.
  • Exceptional command of the English language with a deep understanding of tone, nuance, and rhetoric.
  • Experience working with generative AI models (e.g., GPT-4, Claude, Llama 2).
  • Strong analytical skills with the ability to deconstruct complex problems into actionable prompt steps.
  • Proficiency in Python or SQL is a plus for data-driven optimization.
  • Ability to work independently in a remote-first environment with provided top-tier equipment.

Required Skills

Prompt Engineering Large Language Models (LLM) Natural Language Processing (NLP) Generative AI Python Communication Data Analysis

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