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AI Prompt Specialist

3 weeks ago

Kanpur, Uttar Pradesh, India beBeePrompting Full time ₹ 30,00,000 - ₹ 50,00,000
Prompts for AI Advancement

About the Role:

As a Prompt Engineer Intern, you will be designing, developing, and optimizing AI prompts and workflows to enhance our FinTech tools, models, and websites.

Responsibilities:

  • Design and optimize prompts for large language models (LLMs) to support FinTech applications.
  • Develop prompt templates and workflows for financial data analysis, risk assessment, and customer support.
  • Create and maintain prompt libraries for various AI-powered features across our platforms.
  • Integrate AI/LLM capabilities into existing web applications and tools.
  • Test, evaluate, and iterate on prompt performance to ensure accuracy and reliability.
  • Work with APIs from AI service providers (OpenAI, Anthropic, Google AI, etc.).
  • Collaborate with development team to implement AI features in frontend and backend systems.
  • Develop conversational AI interfaces for customer interactions and financial advisory services.
  • Create documentation and best practices for prompt engineering workflows.
  • Conduct A/B testing on different prompt variations to optimize performance.
  • Research and implement emerging prompt engineering techniques and methodologies.

Requirements:

  • Any student from any academic discipline can apply.
  • Self-learner.
  • Basic understanding of large language models (LLMs) and prompt engineering principles.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently in a remote setting.
  • Strong written communication skills for creating clear and effective prompts.

Benefits:

  • Opportunity to build practical skills with cutting-edge AI and prompt engineering technologies.
  • Enhance your professional portfolio with real-world AI implementation projects.
  • Exposure to FinTech industry and AI-driven financial solutions in a remote work environment.
  • Gain experience with the latest LLMs and prompt optimization techniques.