Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
We are looking for an AI Engineer to design and build production-grade multi-agent systems that solve real business problems.
This role is focused on engineering reliable AI systems rather than training models. You will work across agent orchestration, tool integration, workflow automation, and platform APIs to build solutions that deliver measurable outcomes for users.
Success in this role requires strong systems thinking, ownership, and the ability to translate complex problems into robust AI-driven architectures.
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
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.
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
World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
Autonomy and ownership – we trust people to make decisions, solve problems, and shape outcomes
Minimal bureaucracy – fast execution, direct communication, and a focus on impact over process
Modern tools and workflows – we embrace AI, automation, and continuous improvement across all functions
Equity – participate in the company's growth and long-term success
