4 дня назад
Lead AI Engineer (iGaming)
Вакансия из Telegram канала - Мэтч & Сопровод
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Описание вакансии
TL;DR
Lead AI Engineer (LLMs/RAG/AI Agents): Building production AI platforms and shared AI services for an international iGaming holding with an accent on AI architecture, secure deployment, and engineering standards. Focus on leading the AI engineering function, designing RAG and agent systems, and making critical technical decisions across products and internal systems.
📢 Lead AI Engineer
📍 Remote | EU/CIS preferred
An international iGaming holding is hiring a Lead AI Engineer to establish and lead the company's AI engineering function.
✅ Requirements:
- 5+ years building backend or distributed systems
- Proven experience delivering AI products into production
- Experience leading engineering teams
- Deep expertise in LLMs, RAG, AI Agents, MCP and Vector Search
- Strong engineering mindset with hands-on technical leadership
📌 Responsibilities:
- Define AI architecture and engineering standards
- Build production AI platforms and shared AI services
- Lead and mentor the AI engineering team
- Drive AI adoption across products and internal systems
- Establish secure AI development and deployment practices
- Stay hands-on with architecture and critical technical decisions
🤖 Core Technologies:
LLMs • AI Agents • RAG • MCP • Vector Search • Cloud Infrastructure • Secure AI Architecture • AI Governance • Data Privacy • Kubernetes
📍 Remote | EU/CIS preferred
An international iGaming holding is hiring a Lead AI Engineer to establish and lead the company's AI engineering function.
✅ Requirements:
- 5+ years building backend or distributed systems
- Proven experience delivering AI products into production
- Experience leading engineering teams
- Deep expertise in LLMs, RAG, AI Agents, MCP and Vector Search
- Strong engineering mindset with hands-on technical leadership
📌 Responsibilities:
- Define AI architecture and engineering standards
- Build production AI platforms and shared AI services
- Lead and mentor the AI engineering team
- Drive AI adoption across products and internal systems
- Establish secure AI development and deployment practices
- Stay hands-on with architecture and critical technical decisions
🤖 Core Technologies:
LLMs • AI Agents • RAG • MCP • Vector Search • Cloud Infrastructure • Secure AI Architecture • AI Governance • Data Privacy • Kubernetes
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