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Conversational AI Specialist
Job summary
A technology company in Mexico is seeking an AI Prompt Engineer to design, test, and optimize prompts for AI systems. The ideal candidate will have expertise in prompt engineering, a solid understanding of data architecture, and proficiency in coding. Responsibilities include collaborating with engineering teams to enhance AI solutions and improving prompt performance based on user feedback. This role demands excellent English communication skills and a passion for AI innovations.
Qualifications
- Strong expertise in prompt engineering and natural language instruction design.
- Solid understanding of data architecture, schemas, and data pipelines.
- Proficiency in coding (e.g., Python, JavaScript).
- Experience working with AI/ML models or LLM-based systems.
Responsibilities
- Design, write, test, and optimize prompts for AI and LLM-based systems.
- Develop structured prompt frameworks to improve accuracy and performance.
- Collaborate with engineering teams to align prompts with data architecture.
- Analyze AI outputs and iterate on prompts based on user feedback.
Skills
We are looking for a highly skilled AI Prompt Engineer / Conversational AI Specialist who excels at designing, testing, and optimizing prompts for AI systems. The ideal candidate has a strong understanding of data architecture, and coding principles. This role requires excellent English fluency and the ability to translate business needs into effective AI interactions.
- Design, write, test, and optimize prompts for AI and LLM-based systems
- Develop structured prompt frameworks to improve accuracy, reliability, and performance
- Collaborate with engineering and data teams to align prompts with data architecture and system design
- Work with APIs, datasets, and code to integrate AI solutions into existing workflows
- Design and refine conversational flows for voice-based AI systems
- Analyze AI outputs and iterate on prompts based on performance metrics and user feedback
- Document prompt logic, data flows, and best practices
- Strong expertise in prompt engineering and natural language instruction design
- Solid understanding of data architecture, schemas, and data pipelines
- Proficiency in coding (e.g., Python, JavaScript, or similar languages)
- Experience working with AI/ML models or LLM-based systems
- Fluent English (written and spoken), with excellent communication skills
- Hands-on experience with voice AI platforms (e.g., conversational IVR, speech-to-text, text-to-speech systems)
- Familiarity with conversational design, dialogue management, and user intent modeling
- Experience integrating AI systems via APIsBackground in AI, machine learning, data engineering, or software development
- Experience building or scaling AI-powered products
- Understanding of evaluation frameworks for AI responses
- Experience working in fast-paced or startup environments
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.