We are seeking an innovative and highly motivated
Prompt Engineer with exceptional problem-solving skills and a passion for AI-driven solutions. This role is central to optimizing the use of Generative AI (GenAI) models by crafting, testing, and refining the prompts that drive performance and accuracy. If you are someone who thrives in dynamic environments, enjoys experimenting with AI, and is excited about applying AI to real-world use cases, this role is for you!
Key Responsibilities
- Write Amazing Prompts:
- Design and develop effective and optimized prompts that ensure AI models deliver high-quality, accurate, and relevant outputs.
- Continually refine prompt techniques to improve response accuracy.
- Collaborate with cross-functional teams to craft prompts for various business needs.
- Write and Implement Test Cases:
- Develop detailed test cases to assess prompt performance, ensuring robust and reliable outcomes from AI models.
- Utilize both automated and manual testing to identify edge cases, measure efficiency, and troubleshoot issues.
- Set up prompt evaluation frameworks that can scale for continuous model improvement.
- Evaluate AI Models:
- Assess the behavior of large language models and other AI tools against business-specific metrics and goals.
- Track and analyze model performance based on the prompts provided, using quantitative and qualitative data.
- Provide actionable feedback to data scientists and AI engineers to optimize model outputs and performance.
- Train AI Models:
- Participate in training and fine-tuning of models by providing relevant data and prompts that enhance the model’s learning capabilities.
- Assist in building datasets for training new models and updating existing ones with the most relevant and up-to-date information.
Skills & Qualifications
- Strong problem-solving skills with the ability to approach challenges from multiple angles.
- Proficient in using Generative AI tools (e.g., OpenAI’s GPT models, Claude, or others) to generate code, content, and ideas.
- Excellent understanding of AI model evaluation techniques, including prompt optimization and performance analysis.
- Hands-on experience with AI-driven tools and technologies, and familiarity with modern machine learning frameworks.
- Excellent communication skills, with the ability to explain technical results and processes clearly and concisely.
Skills: prompt,learning,data,skills,models,test cases,testing,training,problem-solving skills,building
