Real Jobs. Real Change. See What's Next.
A living directory of real jobs that didn't exist 5 years ago. Curated for leaders, builders, and the curious.
Prompt Engineer
Develops, refines, and optimizes AI-generated text prompts to ensure accurate, engaging, and relevant outputs for various business applications
Key Responsibilities:
- Design, develop, and refine AI-generated text prompts for various business applications
- Collaborate with product teams, data scientists, and stakeholders to align prompts with company goals and user needs
- Monitor and analyze prompt performance to identify areas for improvement and optimize AI system performance
- Stay current on advancements in AI, natural language processing, and machine learning related to prompt engineering
- Provide support and training to content and product teams on prompt engineering best practices
- Draft reports on prompt performance and development progress
Skills & Tools:
- Generative AI platforms (ChatGPT, GPT-4, Claude)
- Programming languages (Python preferred; JavaScript, R)
- Natural Language Processing (NLP) frameworks (spaCy, NLTK, Hugging Face Transformers)
- Data analysis tools (Pandas, NumPy)
- Machine learning and AI development tools
- Cloud platforms (AWS, GCP, Azure)
- Collaboration tools (Slack, Jira, Notion)
- Strong written and verbal communication skills
- Analytical and problem-solving mindset
Where This Role Has Appeared:
- Filevine (Legal Tech, Remote, $100k–$110k, July 2025)
Variants & Related Titles:
- AI Prompt Engineer
- AI Content Designer
- Conversational AI Engineer
- LLM Specialist
- AI Systems Optimizer
Why This Role Is New:
Prompt Engineer is a job title that didn't exist before 2022. It emerged as businesses began integrating large language models into their workflows and discovered the need for specialized expertise in crafting effective prompts. The role signals the rise of human-AI collaboration and the importance of optimizing AI interactions for business outcomes.
Trend Insight:
The rapid adoption of generative AI in enterprise settings is creating specialized roles that bridge technical AI capabilities with business needs, transforming how companies across sectors leverage artificial intelligence for productivity and innovation.
Seen this role elsewhere? Submit an example or share your story.