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LLM Architecture & Integration:
- Design and implement LLM-powered application workflows
- Architect prompt orchestration, tool calling, and multi-step reasoning pipelines
- Define model selection strategy (OpenAI, Anthropic, open-source models, etc.)
RAG & Knowledge Systems:
- Architect retrieval-augmented generation pipelines
- Design vector database schema and embedding workflows
- Implement chunking, metadata tagging, and indexing strategies
AI Infrastructure & Backend Integration:
- Collaborate with backend architects to integrate AI services into APIs
- Design asynchronous processing pipelines for AI workflows
- Implement caching strategies for inference results
Matchpoint
They are seeking a hands-on AI Engineer with deep expertise in Large Language Model integration and production AI systems. The company's culture sounds innovative and collaborative, focusing on building scalable and secure AI applications.