AI Engineer

AI Engineer

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

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