About the Role
We are seeking a highly skilled Prompt Engineer to join our AI team and play a key role in designing, developing, and optimizing prompts for Large Language Models (LLMs) such as GPT, Claude, Gemini, and similar AI systems. You will collaborate with AI researchers, product teams, and developers to create high-performing prompts that solve complex business problems and enhance AI-driven solutions.
Key Responsibilities
- Design, test, and refine prompts to optimize the performance of LLMs for diverse use cases.
- Collaborate with cross-functional teams to understand business needs and translate them into effective prompt engineering solutions.
- Conduct systematic testing to evaluate the quality, accuracy, and reliability of AI outputs.
- Analyze AI responses to identify areas for improvement in prompt structure and wording.
- Stay updated with advancements in AI, LLMs, and prompt engineering methodologies.
- Develop internal knowledge resources, documentation, and prompt libraries for reuse.
- Partner with developers to integrate optimized prompts into applications, chatbots, and automation workflows.
- Ensure ethical and responsible AI usage while aligning prompt designs with organizational values.
Requirements
- Proven experience working with LLMs such as OpenAI's GPT, Claude, Gemini, or similar AI platforms.
- Strong background in prompt engineering, prompt tuning, or fine-tuning language models.
- Excellent command of English, with the ability to craft precise, clear, and contextually relevant prompts.
- Familiarity with AI evaluation metrics and ability to interpret AI-generated outputs.
- Ability to conduct iterative testing and rapid prototyping.
- Basic knowledge of Python or other programming languages is a plus.
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
- Experience in Natural Language Processing (NLP) or Machine Learning projects.
- Exposure to prompt injection defense and AI safety principles.
- Familiarity with API integrations for LLMs (e.g., OpenAI API, Anthropic API).
- Background in content creation, technical writing, or conversational design is advantageous.
