10 дней назад
Principal AI Search & Conversation Architect (AskOle)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Search & Conversation Architect (AskOle) (AI search and conversational commerce): Architecting the AI orchestration layer that understands intent, retrieves live data from multiple providers, ranks recommendations, and guides users from discovery to transaction with an accent on multi-agent systems, RAG, semantic search, and conversation state management. Focus on designing large-scale distributed AI platforms, coordinating LLMs and external APIs, and maintaining low-latency, reliable experiences across a global football ecosystem.
Location: Austin, Texas, USA; the role requires some travel.
Company
is building AskOle and OleOle, AI-powered travel and football platforms combining conversational commerce, social networking, real-time translation, payments, content, and mini programs.
What you will do
- Architect the AI orchestration layer for conversational search and commerce.
- Design systems that understand intent, gather information, execute multi-step tasks, and maintain conversational context.
- Integrate ticketing, hotel, airline, restaurant, transportation, mapping, weather, review, and other real-time APIs.
- Build ranking, recommendation, personalization, retrieval, memory, and response-generation capabilities.
- Define technical vision and architectural standards for LLMs, agents, semantic search, vector databases, knowledge graphs, and AI evaluation.
- Mentor senior engineers and collaborate with principal architects across infrastructure, payments, blockchain, messaging, mini programs, and platform services.
Requirements
- Production-scale AI platform architecture experience serving 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, conversational AI, and orchestration frameworks.
- Experience with distributed cloud-native systems, high availability, low latency, recommendation engines, ranking, and personalization.
- Hands-on experience integrating complex third-party APIs and multiple real-time data sources.
- Ability to lead senior engineering teams, mentor architects, establish standards, and make long-term technical decisions.
Nice to have
- Experience with OpenAI, Anthropic, Gemini, open-source language models, LangGraph, LlamaIndex, DSPy, vector databases, graph databases, and modern AI infrastructure.
- Understanding of football and international sports.
Culture & Benefits
- Work in an early-stage, privately held, rapidly growing technology company.
- Solve ambiguous problems across a broad range of technologies and shifting priorities.
- Encourage independent judgment, creative problem-solving, and new technical ideas.
- Build category-defining products for global football fans and international commerce.
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