обновлено 12 дней назад
Principal AI Search & Conversation Architect (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal AI Search & Conversation Architect (AI): Architecting a conversational commerce platform that understands intent, retrieves live data from travel and ticketing providers, ranks recommendations, and guides users from discovery to transaction with an accent on multi-agent orchestration, RAG, semantic search, and real-time API integration. Focus on designing scalable AI-native systems, managing conversation state and memory, coordinating tool execution, and establishing long-term architecture for low-latency global infrastructure.
Location: Austin, Texas, USA; the role requires some travel
Company
is building AskOle and OleOle, AI-driven travel and football platforms combining conversational commerce, social networking, real-time translation, payments, mini programs, and live content.
What you will do
- Architect the AI orchestration layer powering conversational search, recommendations, and transactions.
- Coordinate large language models, specialized agents, retrieval systems, recommendation engines, and external APIs.
- Design systems that understand intent, plan multi-step tasks, maintain context, execute tools, and adapt recommendations from user feedback.
- Integrate real-time data from ticketing, hotels, airlines, restaurants, transportation, mapping, weather, reviews, and other providers.
- Define technical vision and standards for LLM strategy, retrieval, agent design, memory, semantic search, knowledge graphs, and evaluation.
- Mentor senior engineers and collaborate with principal architects across infrastructure, payments, blockchain, messaging, mini programs, and platform services.
Requirements
- Production-scale experience architecting AI platforms used by large numbers of users.
- Principal Engineer, Chief Architect, Distinguished Engineer, or equivalent senior technical leadership experience.
- Deep expertise in LLMs, AI agents, multi-agent systems, RAG, semantic search, recommendation systems, and conversational AI.
- Experience designing distributed, cloud-native systems with high availability, global scale, and low latency.
- Hands-on experience integrating complex third-party APIs and multiple real-time data sources.
- Strong architectural judgment, communication, technical leadership, mentoring, and engineering standards experience.
Nice to have
- Experience with OpenAI, Anthropic, Gemini, open-source language models, LangGraph, LlamaIndex, DSPy, vector databases, graph databases, or modern AI infrastructure.
- Understanding of football and international sports.
Culture & Benefits
- Work in an early-stage, rapidly growing technology company.
- Operate with entrepreneurial independence and limited micromanagement.
- Solve ambiguous problems across a broad range of technologies and shifting priorities.
- Build category-defining products rather than maintaining existing platforms.
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