AI Prompt Engineer

Key Responsibilities:

• Design and iterate prompts and prompt chains for large language models (GPT-4, Claude, Mistral, etc.)
  

  
  

• Collaborate with product and tech teams to develop emotionally intelligent, clinically sound interactions
  

  
  

• Evaluate LLM responses for accuracy, tone, safety, and customer experience using metrics, product feedback, and business goals..
  

  
  

• Prototype intelligent conversational flows and decision trees for both customers and contact center agents.
  

  
  

• Use retrieval-augmented generation (RAG), vector databases, and feedback loops to improve model performance
  

  
  

• Help document best practices, prompt libraries, and internal tools for scalable deployment
  

  
  

Skills and Qualifications:

• Strong understanding of how large language models work and how to guide them through effective prompting
  

  
  

• Proficiency in Python (3+ years) and experience working with LLM APIs (OpenAI, Anthropic, Hugging Face, etc.)
  

  
  

• Experience with LangChain, vector databases (like Pinecone or Weaviate), and RAG pipelines
  

  
  

• Comfort working with structured data formats (JSON, YAML) and REST APIs in building testable prompt frameworks.
  

  
  

• Ability to think both creatively (language, UX) and analytically (model behavior, logic)
  

  
  

• Bonus: Exposure to AI voicebots + chatbots