Key Responsibilities
- Design high-quality prompts for complex business use cases to maximize LLM output quality
- Build AI-assisted workflows and automations to enhance productivity across research, analytics, and operations
- Experiment with and optimize LLM behavior for consistent, reliable results in decision-making contexts
- Develop documentation and reporting frameworks powered by generative AI tools
- Iterate on prompts and workflows to align with evolving business and regulatory requirements
- Collaborate with cross-functional teams to integrate AI solutions into existing processes
Requirements
- Hands-on experience with LLMs like Claude, ChatGPT, Gemini, or Perplexity
- Strong prompt engineering capabilities with a focus on business value generation
- Understanding of LLM behavior, output optimization, and prompt iteration techniques
- Analytical mindset with problem-solving skills to refine AI-driven workflows
- Python proficiency preferred for automation and tooling integration
- Research-oriented approach with attention to detail and iterative improvement