Prompt engineers design and refine text instructions that guide AI models to produce accurate, contextually relevant outputs. They work with large language models to optimize AI performance across various applications and automated workflows.
To write an effective job description for a prompt engineer, you need careful consideration of the candidate’s AI experience and linguistic creativity. If you post a generic AI specialist job ad, it may attract candidates who lack the specific prompt optimization skills your team needs.
In this article, you’ll find a sample prompt engineer job description that helps you write a targeted job ad and ensures you find and hire professionals who match your requirements. So, let’s get started!
Here’s a comprehensive template you can customize for your prompt engineering job description. Simply replace the placeholders with your specific requirements and adjust the technical focus based on your AI implementation needs.
Position: {{ Junior / Mid-Level / Senior / Lead }} Prompt Engineer
Work location: {{ Remote / Hybrid (X days office) / On-site – City, State/Country }}
Compensation: {{ $XX,XXX–$XXX,XXX }} annually
{{ Write a 3-4 sentence about your organization. Include information about your AI initiatives, team culture, benefits, and growth opportunities. Mention work arrangements, professional development programs, and unique aspects that make your company an attractive place for prompt engineers. }}
{{ Company name }} is looking for a detail-oriented prompt engineer responsible for designing and optimizing the interactions between users and AI language models. Your primary focus will be the development of effective prompt strategies to ensure consistent accuracy in AI-generated outputs.
You will also be responsible for collaborating with product teams to integrate AI capabilities into customer-facing applications.
â–ª Design and craft prompts for {{ your use cases, e.g., chatbots / content generation / creative tasks / data analysis }}
â–ª Run systematic A/B tests to measure prompt effectiveness
â–ª Create versioned prompt libraries with clear documentation and use case examples
â–ª Integrate AI prompt solutions into {{ existing workflows / products }}
â–ª Collaborate with {{ data engineers / ML engineers / product teams }} to fine-tune prompts
â–ª Document prompt experiments and outcomes
â–ª Stay updated on the latest advancements in AI, NLP, and prompt engineering techniques
â–ª {{ Add other responsibilities specific to your AI implementation }}
â–ª {{ x }}+ years of experience working with AI or NLP technologies
â–ª Proficient in prompt engineering with experience in at least one major AI platform, such as {{ OpenAI API, Anthropic Claude, Google Gemini, Microsoft Copilot, depending on your tech stack }}
â–ª Strong command of {{ English / additional languages }} for nuanced prompt crafting
â–ª Knowledge of prompt chaining and multi-step reasoning techniques
â–ª Understanding of token economics and context window management
â–ª Familiarity with {{ your tech stack: Python / JavaScript / specific frameworks }}
â–ª Experience measuring and reporting on prompt performance metrics
â–ª Strong analytical and problem-solving skills, with attention to detail and {{ other required soft skills}}
â–ª Python programming skills and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) are a plus
â–ª Experience with prompt chaining and multi-agent architectures using automation platforms (e.g., n8n, Make, and Zapier)
â–ª Knowledge of {{ RAG systems / vector databases / fine-tuning processes }}
â–ª Previous work in {{ your industry vertical }}
â–ª {{ Unlimited PTO / X weeks vacation }}
â–ª {{ Conference / training }} budget of ${{ amount }}
â–ª {{ Relocation assistance / home office stipend / co-working space allowance }}
â–ª {{ Include your company-specific benefits }}
Submit your application with examples of successful prompt engineering work and a brief explanation of your approach to prompt optimization.
Our selection process consists of {{ initial call, technical test, team interview }}. You’ll get feedback within {{ x }} business days after each stage.
As mentioned above, a prompt engineer is someone who crafts and fine-tunes the input prompts that instruct generative AI models.
What makes prompt engineering unique is its combination of technical knowledge and creative problem-solving. Prompt engineers analyze AI model behavior, test different approaches, collaborate with specialists across departments, and optimize LLMs for specific business outcomes.
If you’re hiring for this role, your job post needs to reflect this full range of responsibility. So, let’s walk through the key elements you should include in your prompt engineer job description and explore how these factors can influence your hiring decisions.
Start your prompt engineer job description with a brief company overview. You should mention your industry, product focus, target customers, and team culture in 3-4 connected sentences. Also, include details about team size, collaboration style, and growth trajectory to help candidates envision their role in your organization.
Here is an example of a company description structure for your prompt engineer job description:
Following your company introduction, provide a concise overview of the prompt engineer roles within your organization. This summary helps candidates quickly understand whether the position aligns with their skills and career goals. Focus on the primary responsibilities and the immediate challenges they’ll address.
This section outlines how the prompt engineer will spend their working hours and what areas they’ll own. Focus on ongoing responsibilities and organize them from the most frequent to the least frequent activities.
Common prompt engineer job description responsibilities include:
You can customize this list based on your specific use cases and add any domain-specific requirements.
Next, define the non-negotiable experience and technical skills needed for success in your use case.
Basically, you have several options when it comes to experience requirements: you can prioritize hands-on AI experience, focus on programming skills, or emphasize domain expertise in your industry.
Structure your prompt engineer job description requirements from most to least critical. Aim for 6-8 bullet points.
For most prompt engineering roles, the required qualifications include:
You can adjust the experience requirements based on seniority level and add any industry-specific needs.
For example, a senior position might require experience with prompt architecture and team leadership, while a junior role could focus on learning potential and basic technical skills.
After publishing your prompt engineer job description, track application quality and response rate. If you’re not seeing qualified candidates within two weeks, revisit your requirements, as you may be too specific or not specific enough.
We recommend adjusting your job post based on feedback from candidates and early interviews. The prompt engineering field evolves rapidly, so your job description should too. Update it quarterly to reflect new tools and industry standards.
Many hiring managers use this structure as a starting point and then adapt it to the preferred prompt engineer qualifications. But if you prefer to skip the trial-and-error process, DOIT Software can prepare a tailored version based on your requirements and help you hire prompt engineers backed by a dedicated evaluation.
Get a consultation and start building your dream team ASAP.
Request CVsA prompt engineer creates and refines the text inputs that guide AI models to produce accurate, relevant outputs for specific business applications. They design prompts for chatbots, content generation systems, data analysis tools, and other AI-powered features.
Strong English proficiency and analytical thinking form the foundation of effective prompt engineering. Focus on pattern recognition, attention to detail, problem-solving abilities, and hands-on experience with AI platforms. Also, you can look for technical competencies such as Python programming and API integration experience.
In modern job descriptions, you can find such positions as: Prompt Engineer (develops and optimizes prompts for LLMs), Prompt Engineering Developer (creates prompt workflows in code), Prompt Automation Specialist (implements prompt-based automation pipelines), and Conversational AI Prompt Engineer (focuses on dialogue design for chatbots and virtual assistants).
A job description for a prompt engineer at a junior level should emphasize learning opportunities and mentorship structure. Include 1-2 years of experience with AI tools, basic programming skills, and strong English proficiency. Focus on growth potential and collaboration with senior team members.
