AI EngineerKey Responsibilities— Design and implement production-grade multi-agent systems, including orchestration,…

AI EngineerKey Responsibilities— Design and implement production-grade multi-agent systems, including orchestration, routing, memory, tool execution, and fallback strategies— Build multimodal AI workflows and integrate multiple model providers— Develop custom tools, MCP servers, and integrations with internal platform APIs— Analyze existing APIs and codebases to extend platform capabilities where required— Implement testing, evaluation, observability, and reliability practices for AI systems— Investigate and improve agent behavior, performance, and system robustnessRequired Qualifications— Strong Python backend development experience, including asynchronous services and API integrations— Commercial experience building production multi-agent LLM systems— Experience with modern agent frameworks such as LangGraph, LangChain, AutoGen, CrewAI, LlamaIndex, or PydanticAI— Strong understanding of agent orchestration, tool calling, routing, memory, and autonomous workflows— Experience building multimodal AI applications and integrating multiple model providers— Experience with vector databases, caching layers, and AI application infrastructure— Experience implementing testing, debugging, observability, and evaluation practices for AI systems— Familiarity with the gaming industry, analytics, payments, or similar transaction-heavy domainsImportant: Commercial experience is required; personal projects alone are not sufficient.Preferred Qualifications— ML background or practical machine learning experience— Experience building evaluation, benchmarking, or observability systems for AI applications— Experience working with large and complex API ecosystemsWhy Join Us— World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players— High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months— Autonomy and ownership – we trust people to make decisions, take initiative, and drive results— Modern tools and technology – use AI, automation, and modern tools as part of your everyday work— Equity – participate in the company's growth and long-term successОтклик