December 10
• Design and integrate LLM-based solutions, focusing on RAG implementations and optimal architecture patterns • Lead rapid experimentation and prototyping of AI features, conducting proof of concepts to validate solutions • Drive cost optimization for AI implementations through efficient architecture design • Work closely with product, engineering, and customer experience teams to develop AI solutions • Build and optimize prompt engineering workflows to enhance user experiences • Implement robust error handling and monitoring for AI systems • Guide technical discussions around AI architecture decisions • Mentor team members and champion innovation in AI development
• 5+ years of backend engineering experience with TypeScript/Node.js or Python • Experience with LLM integrations (OpenAI, Anthropic, Azure OpenAI) and familiarity with orchestration frameworks like LangChain or LlamaIndex • Experience/familiarity with real-time event-driven and streaming systems • Working knowledge of prompt engineering, RAG, and vector databases • Experience with API design and microservices architecture • Track record of rapid prototyping and experimentation • Strong cross-functional collaboration and communication skills
• Equity • Extensive medical coverage • Monthly lifestyle stipend • Flexible PTO policy
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