A Prompt Engineer designs and improves the instructions given to AI models so they produce more accurate, useful and consistent results.
The role involves understanding how generative AI systems respond to different prompts and using that knowledge to build reliable AI workflows for specific tasks.
If you’re looking at a Prompt Engineer job description, the role is more than simply knowing how to write good prompts.
A Prompt Engineer may test different prompting techniques, create reusable prompt templates, evaluate AI outputs, work with large language models, connect prompts to applications and help teams get better results from AI systems.
Key Duties
- Design and test prompts for large language models and generative AI systems.
- Create reusable prompt templates for different business and technical use cases.
- Experiment with different prompting techniques to improve AI responses.
- Evaluate AI outputs for accuracy, relevance, consistency and quality.
- Identify problems such as hallucinations, incorrect instructions and inconsistent responses.
- Build prompt workflows for tasks such as content generation, summarisation, research and data extraction.
- Work with developers to integrate prompts into AI-powered applications.
- Develop prompts for AI agents and multi-step workflows.
- Create evaluation datasets and testing methods for comparing model performance.
- Optimise prompts for different AI models and use cases.
- Document successful prompts, testing methods and AI workflows.
- Monitor AI systems and update prompts as models, data and requirements change.
- Work with product, engineering, marketing, research and other teams to identify useful AI applications.
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Essential Skills
Technical skills
- Prompt engineering techniques
- Understanding of large language models (LLMs)
- Natural language processing (NLP)
- Generative AI concepts
- AI model evaluation and testing
- Context management
- Structured prompting
- Few-shot and zero-shot prompting
- Retrieval-Augmented Generation (RAG)
- AI agents and tool calling
- Basic programming, particularly Python
- APIs and AI application development
- Data analysis and evaluation
- Understanding of AI limitations and hallucinations
Popular Tools & Frameworks
- OpenAI API
- Google Gemini
- Anthropic Claude
- Microsoft Azure AI
- Hugging Face
- LangChain
- LlamaIndex
- Jupyter
- Python
- Git/GitHub
- Vector databases
- AI evaluation and observability platforms
Soft Skills
A successful Prompt Engineer should also have:
- Strong written communication
- Creative problem-solving
- Analytical thinking
- Attention to detail
- Curiosity and experimentation
- Ability to understand complex requirements
- Good research skills
- Ability to explain AI behaviour clearly
- Strong collaboration skills
- Willingness to continuously learn as AI models evolve
Education & Experience
A Prompt Engineer can come from several educational backgrounds. Many employers look for candidates with a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Linguistics, Mathematics, Statistics, or a related field. However, practical experience can be particularly important for this role. Building AI applications, developing prompt libraries, testing different models and creating real-world AI workflows can demonstrate relevant skills.
Prompt Engineer Salary
Prompt Engineer salaries vary considerably depending on experience, location, employer and whether the role involves broader AI engineering responsibilities.
| Experience Level | Estimated Monthly Salary | Estimated Annual Salary |
|---|---|---|
| Entry-level / Junior | ₦200,000–₦500,000 | ₦2.4M–₦6M |
| Mid-level | ₦500,000–₦1.2M | ₦6M–₦14.4M |
| Senior | ₦1.2M–₦3M+ | ₦14.4M–₦36M+ |
| Lead / Specialist | ₦2.5M–₦5M+ | ₦30M–₦60M+ |
These are broad estimates rather than fixed market rates, and international remote positions can offer significantly different compensation.
In simple terms: a Prompt Engineer figures out how to communicate with AI models effectively and turn those instructions into reliable workflows that produce useful results.
Lawrence Orjime is an AI and technology writer at AIBase.ng, covering the latest developments in artificial intelligence, emerging technologies, and the companies shaping the future of AI.
With a background in content strategy, SEO, and digital media, Lawrence Orjime combines technology reporting with a strong understanding of what makes information useful and easy to find online.