Description
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication. At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together. ABOUT THE POSITION We are looking for a Senior AI Engineer to help design and deliver agentic and generative AI systems that power R&D tooling for video game asset pipelines and production workflows. You will help shape the technical direction of our internal agent platform while building creative AI workflows that support artists, technical artists, and production teams. This is a senior, hands-on individual contributor role: you will write code, help design agentic architectures, build generative content pipelines, and partner with stakeholders across studios to turn emerging AI capabilities into production-grade tools. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Responsibilities Agent platform - Design and build key parts of our internal agent libraries - the core abstractions and developer ergonomics that let teams across the company build agents quickly and consistently. - Contribute to the architecture of our shared agent runtime and deployment patterns, helping teams run and maintain agents across production workflows. - Help define and evolve the agent loop / harness: prompt orchestration, tool invocation, sub-agent delegation, and recovery behavior. - Bring in reference patterns from the broader ecosystem, including open-source agent loops and harness projects, and adapt them to creative production use cases. Agent loop & harness engineering - Drive prompting and context strategy at scale: system prompt design, guardrails, mitigation of context poisoning and pollution, and management of context windows and model parameters. - Design tool interfaces for agents: MCP servers, structured inputs/outputs for context, and sub-agent composition patterns. - Advocate for typed-agent frameworks, clear debugging patterns, and practical tracing for non-deterministic workflows. - Evaluate and integrate hosted and local LLM options where latency, cost, quality, or data-residency requirements demand it. Creative AI workflows - Design, build, and maintain generative workflows for 2D assets, video, textures, concepts, and 3D-related content. - Evaluate and integrate image, video, multimodal, and 3D generation models for game-production use cases. - Develop and optimize node-based generation workflows using tools such as