
AI Prompt Engineering Role
3 days ago
About our FinTech project:
We are developing innovative AI tools to enhance financial applications. We need a talented AI Prompt Engineer to contribute to the design, development, and optimization of AI prompts and workflows.
Key Responsibilities:
- Design and optimize prompts for large language models (LLMs) to support financial 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.
- Collaborate with the 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.
- Ensure AI outputs comply with financial regulations and ethical guidelines.
Qualifications:
- Students from any academic discipline can apply.
- Self-learners.
- 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:
- This is a unique opportunity to build practical skills with cutting-edge AI and prompt engineering technologies.
- Enhance your professional portfolio with real-world AI implementation projects.
- Gain experience with the latest LLMs and prompt optimization techniques.
Internship Details:
- Duration: 1 month, 2 months, 3 months, 4 months or 6 months at the option of the student.
- Timings: Self-paced.
- Type: Unpaid.
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