Key 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 robustness

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Required 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 domains

Important: 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 ecosystems

Why 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 success