Prompt Engineer (1000+ Global Open Roles)

This LinkedIn job search aggregates over 1,000 open Prompt Engineer positions across industries and locations worldwide, with new roles added daily. Prompt Engineers specialize in designing, refining, and optimizing natural language prompts to improve the performance, accuracy, safety, and usability of large language models (LLMs), generative AI systems, and other AI-powered tools. Roles span early-stage startups, Fortune 500 enterprises, research institutions, and global tech firms, with responsibilities including iterative prompt testing, cross-functional collaboration with data scientists, ML engineers, and product teams, and developing scalable prompt design best practices. Opportunities range from entry-level to senior and leadership positions, with many roles offering remote, hybrid, or in-person work arrangements depending on employer requirements. Common use cases for these roles include building customer support automation tools, developing content generation workflows, creating code assistance platforms, supporting AI-powered research initiatives, and rolling out enterprise AI tooling. Candidates can leverage their LinkedIn professional network to connect directly with hiring managers, set up job alerts for new matching roles, and apply to positions that align with their technical skills and experience in AI, natural language processing, or related fields.

• 1+ year of experience designing, testing, and refining prompts for large language models (LLMs) or other generative AI systems (senior roles may require 3+ years of relevant experience)
• Strong foundational knowledge of natural language processing (NLP) concepts, AI model capabilities, and common limitations of generative AI tools
• Ability to collaborate cross-functionally with data scientists, ML engineers, product teams, and business stakeholders to align prompt strategies with organizational goals
• Familiarity with prompt engineering best practices, AI output evaluation metrics, and iterative testing methodologies to optimize model performance
• Excellent written and verbal communication skills, with the ability to document prompt design processes and train team members on effective prompt strategies
• Proficiency with Python and familiarity with AI development platforms, prompt management tools, or version control systems is a plus
• Bachelor's degree in Computer Science, Linguistics, Data Science, or a related technical field, or equivalent practical professional experience