4 months ago
Responsibilities
- Architect core system prompts and manage context windows for responsive AI reasoning.
- Build prompt systems that maintain a consistent and empathetic personality.
- Design advanced prompt chains to handle conversational tangents and emotional states.
- Implement prompt-driven logic for multi-agent frameworks connecting users and APIs.
- Develop custom evaluation frameworks to measure conversational success.
Requirements
- 2-3 years of experience in Conversational AI/NLP with complex LLM applications.
- Deep familiarity with state-of-the-art prompt engineering techniques.
- Experience building logic for LLMs using frameworks like LangGraph or Haystack.
- Proven ability to optimize prompt systems for scale, cost, and speed.
- Comfortable with prompt version control and continuous integration for AI evaluations.
Categories
AI & MLData Science