Job Description
We are seeking a skilled Dialog Systems Engineer to lead the development of intelligent conversations powered by Large Language Models (LLMs). As a key member of our team, you will own the conversation engine, designing and implementing stateful, multi-turn dialog systems using tools like LangChain, Rasa, or custom dialog orchestration.
Key Responsibilities
- Architect structured conversation graphs to create intuitive, flowing dialog pathways
- Develop semantic content graphs that map concepts, relationships, and emotional contexts for more meaningful interactions
- Create modular dialog flows across verticals: astrology, relationships, mental health, etc.
You will collaborate with experts and writers to define conversation playbooks that convert emotional resonance into real consultations. In addition, you will track performance metrics like session depth, conversion, retention, and user sentiment.
Requirements
- Mastery of LLM orchestration, chaining, prompt design, and memory techniques
- Experience with vector databases, embeddings, and real-time personalization
- Strong implementation knowledge of retrieval-based solutions using embeddings and vector databases
Job Highlights
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