Job Description
We are seeking a visionary Prompt Engineer to join our dynamic AI team in Omaha. If you have a knack for language, logic, and artificial intelligence, and you are ready to start tomorrow, this is your opportunity to shape the future of conversational AI.
In this pivotal role, you will serve as the bridge between human intent and machine execution, crafting the precise instructions that drive our Large Language Models (LLMs) to success. You will collaborate with world-class data scientists and product managers to define the next generation of AI applications.
Why Apply?
- Immediate Impact: Start tomorrow and hit the ground running with a fully funded project.
- High-Performance Environment: Work with cutting-edge LLMs including GPT-4 and Claude.
- Competitive Package: Generous base salary, performance bonuses, and comprehensive benefits.
Responsibilities
- Prompt Architecture: Design, test, and refine complex prompt chains to maximize output quality and accuracy from generative AI models.
- Model Optimization: Conduct A/B testing on prompt variations to reduce bias, minimize hallucinations, and improve response consistency.
- Knowledge Management: Build and maintain a proprietary library of high-performing prompts and best practices for internal teams.
- Cross-Functional Collaboration: Partner with software engineers and product managers to integrate prompt engineering strategies into broader product workflows.
- Research & Adaptation: Monitor the rapidly evolving AI landscape to adopt new techniques such as fine-tuning and RAG (Retrieval-Augmented Generation).
Qualifications
- Experience: 2+ years of professional experience in Prompt Engineering, AI interaction design, or NLP.
- Technical Proficiency: Deep understanding of how LLMs function, including context windows, temperature settings, and tokenization.
- Communication: Exceptional writing and editing skills with a keen eye for detail and tone.
- Problem Solving: Ability to deconstruct ambiguous user requests into structured, actionable prompt formats.
- Education: Bachelor’s degree in Computer Science, Computational Linguistics, or a related technical field.