Senior AI Engineer Needed to Improve AI Companion Game with LLM Memory & AI Agents

# Senior AI Engineer Needed to Improve AI Companion Game with LLM Memory & AI Agents ## About the Project We are building **Echo — AI Recovering Memory**, an AI-powered companion game where a cute AI character learns, remembers, and develops a unique personality through interactions with players. Our team has already developed the initial version of the project. We are looking for a highly skilled AI engineer who can review the current architecture, provide expert recommendations, and help us evolve Echo into a more intelligent and emotionally engaging AI character. Project repository: https://github.com/PeterJohnsen12/Echo-AI-Recovering-Memory.git ## Game Concept Echo is a cute AI companion that has lost its memories. Players interact with Echo through conversations and gameplay. Over time, Echo should be able to: * Remember important player interactions * Build a relationship with the player * Develop personality based on experiences * Understand player behavior * Express realistic emotions * Create unique conversations for each player The goal is to create an AI character that feels alive rather than a simple chatbot. ## What We Need We are looking for an experienced developer who can help us improve the AI architecture and gameplay experience. Key areas: ### 1. AI Memory System Design and improve a scalable memory architecture: * Short-term conversation memory * Long-term memory storage * Important event extraction * Memory ranking and retrieval * Context management for long conversations Example: After many hours of gameplay, Echo should remember: "The player helped me repair my damaged system." and naturally use this memory in future conversations. ### 2. AI Personality & Emotion System Create a dynamic character model including: * Trust level * Friendship level * Curiosity * Happiness * Fear * Loyalty Echo's personality should change based on player actions. ### 3. AI Agent Architecture Improve Echo's intelligence through: * Decision making * Reasoning * Planning * Autonomous behavior * Tool usage * Better prompt and context strategies ### 4. Technical Architecture Review We would like an expert who can review the existing project and suggest improvements related to: * Scalability * Code structure * AI architecture * Database design * Performance * Future expansion ## Current Technology Stack * React * TypeScript * Node.js * AI/LLM integration * Database systems Experience with the following is highly valuable: * LLM applications * AI agents * RAG systems * Vector databases * LangChain / LlamaIndex * Prompt engineering * AI memory architectures ## Ideal Candidate You are a good fit if you: * Have built real AI-powered applications * Understand LLM limitations and optimization * Can design production-level AI systems * Enjoy solving challenging AI problems * Can provide technical ideas, not only write code Experience with AI games, virtual companions, or interactive characters is a strong advantage. ## Application Requirements Please include: 1. Examples of AI projects you have built. 2. Your experience with AI agents or LLM applications. 3. Your suggestions after reviewing our GitHub repository. 4. Answer this technical question: **How would you design Echo's memory system so that the character can remember important events after 100+ hours of conversation without sending the complete conversation history to the AI model every time?** We are interested in a long-term collaboration with developers who can help us build a unique AI experience.