Here's a sample
AI Prompt Engineer Job Description (JD) that you can use for hiring or understanding the role.
AI Prompt Engineer Location: Remote / Hybrid / On-site
Employment Type: Full-time
Job Summary We are looking for an AI Prompt Engineer to design, test, and optimize prompts for large language models (LLMs) to improve the quality, accuracy, and efficiency of AI-generated outputs. The ideal candidate has strong analytical skills, excellent communication abilities, and experience working with generative AI tools.
Key Responsibilities - Design and optimize prompts for AI models such as GPT, Claude, Gemini, and other LLMs.
- Develop prompt libraries, templates, and workflows.
- Test, evaluate, and refine prompts based on model performance.
- Collaborate with product, engineering, and business teams to understand requirements.
- Build AI-assisted workflows for content generation, automation, and customer support.
- Analyze AI outputs and recommend improvements.
- Document prompt engineering best practices and standards.
- Stay updated with the latest advancements in generative AI and prompt engineering.
Required Skills - Strong understanding of Large Language Models (LLMs).
- Experience with prompt engineering techniques such as:
- Zero-shot prompting
- Few-shot prompting
- Chain-of-thought (where appropriate)
- Role prompting
- Structured prompting
- Excellent written and verbal communication skills.
- Critical thinking and problem-solving abilities.
- Basic understanding of APIs and AI integrations.
- Familiarity with Python or JavaScript is an advantage.
- Experience using AI platforms and automation tools.
Preferred Qualifications - Bachelor's degree in Computer Science, AI, Data Science, Linguistics, or a related field.
- 1-3+ years of experience working with generative AI tools.
- Experience with prompt evaluation frameworks.
- Knowledge of Retrieval-Augmented Generation (RAG), AI agents, embeddings, and vector databases.
- Familiarity with cloud AI services and AI APIs.
Nice-to-Have Skills - Python
- SQL
- REST APIs
- Git/GitHub
- JSON
- Markdown
- AI workflow automation
- Data analysis
Key Competencies - Creative thinking
- Analytical mindset
- Attention to detail
- Communication skills
- Experimentation mindset
- Collaboration
- Continuous learning
Tools - ChatGPT
- Claude
- Gemini
- Microsoft Copilot
- GitHub
- Postman
- Jupyter Notebook
- VS Code
- LangChain (preferred)
- LlamaIndex (preferred)
- Prompt management and evaluation tools
KPIs - Prompt accuracy and quality
- Reduction in AI hallucinations
- Improvement in user satisfaction
- Time saved through AI automation
- Prompt reusability
- AI workflow efficiency
Salary (Typical) - India:
6
6-20 LPA (depending on experience and company)
- United States: $80,000-$160,000 per year
This JD is suitable for organizations hiring AI Prompt Engineers to build, evaluate, and optimize generative AI applications across domains such as customer support, content creation, software development, and business automation.
