AI Prompt Engineer/Developer
HivewayUnited States
Posted July 28, 2025
Full Time
About the Company
Hiveway empowers vehicle owners to participate in the rapidly expanding shared mobility market by offering a comprehensive on‑demand platform that handles everything from car acquisition to driver sourcing and fleet operations. Their suite of services—car sharing, fleet management, revenue and yield optimization, and investment support—delivers a seamless, profitable experience for both individual and commercial owners. Since launching, Hiveway has scaled from a handful of vehicles to a fleet of over 200, driving hundreds of trips each month and generating substantial returns for its partners. By combining cutting‑edge technology with a customer‑centric approach, Hiveway positions itself as a distinctive leader in the shared mobility revolution.
Job Description
We are looking for a creative and technically-minded AI Prompt Engineer to join our innovative team. In this role, you'll be at the forefront of human-AI interaction, designing, developing, and refining the prompts that power our generative AI applications.
Requirements
- Design & Develop: Craft, test, and iterate on high-quality prompts for a variety of AI applications to ensure optimal performance, accuracy, and tone.
- Collaborate: Work closely with software developers, data scientists, and product managers to understand requirements and integrate prompts seamlessly into our products and workflows.
- Analyze & Optimize: Continuously evaluate prompt performance through rigorous testing and analysis. Use data-driven insights to refine prompts and improve model outputs.
- Code & Integrate: Utilize your programming skills in JavaScript or Java to build testing harnesses, create prototypes, and assist in integrating prompt-based functionalities into our core applications via APIs.
- Stay Current: Keep up-to-date with the latest advancements in LLMs, prompt engineering techniques, and the broader AI landscape to ensure our strategies remain cutting-edge.
- Document: Create and maintain clear documentation for prompt libraries, best practices, and model capabilities for the wider team.
