Job Description: We are looking for an LLM Platform Engineer responsible for optimizing agent-based flows, improving prompt quality, and ensuring quality in agent flows. You will also work on developing evaluation sets to optimize model outputs. Responsibilities: Optimize agent-based flows and ensure quality in the interaction between models and users. Improve and fine-tune prompt generation for maximum performance and reliability. Develop and maintain evaluation sets for model outputs. Collaborate with cross-functional teams to implement and refine language model flows. Monitor the performance of agent interactions and continuously improve quality. Required Skills: Experience with Langgraph/Langchain for developing agent-based systems. Proficiency in TypeScript and Python for model interaction and optimization. Familiarity with Superlinked or multi-embedding technologies (e.g., Weaviate). Experience with Docker for managing development environments. Understanding of MCP (Model Checkpoints) and Prompting techniques.