Jobs at Virtuos

The Financial Analyst will support month-end closings, prepare financial reports, assist with forecasting and budgeting, and enhance finance workflows.

The Project Manager will lead key business transformation projects, manage cross-functional teams, and ensure alignment with business goals, focusing on AI and workflow automation initiatives.

Support M&A activities: market research, target tracking, due diligence, financial modelling, deal screening, investment recommendations, negotiation support, integration coordination, and adoption of AI workflows.

Extract, import and transform data from multiple sources (APIs and programmatic methods) for BI and reporting. Design data models, document projects, prototype and analyze requirements. Build ETL/OLAP solutions using Visual Studio/.NET/C#/MS SQL Server and Azure SQL Data Warehouse. Support DevOps automation and cloud migration planning.

Lead the product roadmap for an AI platform, translate user needs into requirements, and manage a team of product managers in a fast-paced environment.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

As a Financial Analyst, you will support financial reporting, assist in budgeting processes, analyze revenue, and enhance finance workflows.

The Senior AI Engineer will design and develop AI systems for gaming, create agent architecture, and integrate LLMs while ensuring robust performance and collaboration across teams.

Lead a team to design and build production-grade full-stack tools for game asset pipelines, including agent/LLM harnesses, scalable Python backends, secure REST APIs, frontend interfaces (Vue/React), database optimization, CI/CD, testing, performance tuning, and cross-functional collaboration while mentoring engineers and contributing to architecture.

Lead vision, strategy, and delivery of AI-powered tools and an AI Agents platform for game engineering, art, production, and admin teams. Translate studio workflows into product requirements, run discovery and pilots, manage roadmaps and backlogs, coordinate cross-functional engineering and ML teams, and ensure production-ready, scalable, and governed AI solutions with measurable impact.

The Principal Machine Learning Engineer will design and implement AI systems for game development, manage complex workflows, and optimize production models using Python and AWS.