AI Data Architect
iScale Solutions Makati Full-time
This is a remote position.
- Design and implement a scalable data architecture integrating with the Eliza framework
- Develop advanced vector embedding systems for semantic knowledge representation
- Create multi-modal memory structures supporting both episodic and semantic agent memory
- Implement efficient RAG (Retrieval-Augmented Generation) pipelines with vector database integration
- Design context window optimization systems to maximize relevant information retrieval
- Build knowledge graph structures for entity relationship tracking across project artifacts
- Develop APIs for bidirectional enterprise tool integration (JIRA, Project Server, etc.)
- Implement secure data partitioning to maintain compliance with financial industry standards
- Create cross-agent knowledge sharing protocols adhering to specified access controls
- Design and implement observability systems for agent memory and knowledge retrieval
- In-depth experience with the Eliza framework and its agent coordination capabilities
- Practical implementation experience with vector databases ( Pinecone, Weaviate, Milvus, or Chroma)
- Hands-on experience with embedding models (e.g., OpenAI, Cohere, or open-source alternatives)
- Deep knowledge of LangChain/LlamaIndex for agent memory and tool integration
- Experience designing and implementing knowledge graphs at scale
- Strong background in semantic search optimization and efficient RAG architectures
- Experience with Model Control Plane (MCP) for both LLM orchestration and enterprise system integration
- Advanced Python development with expertise in async patterns and API design
- Full Time Employment with competitive salary and benefits
- Medical, dental, and vision insurance coverage
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