Machine Learning Engineer - AI Agent Platform

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 hands-on Machine Learning Engineer to develop an enterprise AI agent platform, with a strong backend focus. You will build agent execution and orchestration capabilities, integrate enterprise systems, and deliver secure, reliable features from backend services to frontend interfaces

- 5+ years of professional software development experience, including delivery of production applications across backend and frontend.
- Strong Python skills with FastAPI or similar frameworks, asynchronous programming, REST APIs, SQLAlchemy/Pydantic or equivalent tooling, and PostgreSQL data modeling.
- Hands-on experience with LLM tool calling, agent execution, or workflow orchestration; practical examples explaining design decisions, context and state management, and failure handling.
- Experience integrating enterprise or third-party systems, including API contracts, data mapping, pagination, rate limits, and retries.
- Understanding of OAuth 2.0/OIDC, authorization, role-based access control, and secure credential handling in applications.
- Ability to build reliable asynchronous workflows using task state, concurrency control, idempotency, and recovery from partial failures.
- Proficiency in TypeScript and Vue or React, including routing, state management, and reusable components. Vue 3 is preferred; willingness to adapt is essential.
- Experience with automated and integration testing, Git, CI/CD, and Docker; ability to troubleshoot using logs and metrics and evaluate agents against representative tasks.
- Clear communication with global, cross-functional teams and the ability to explain technical tradeoffs to non-technical stakeholders.

Nice to have

- Experience extending agent harnesses, SDKs, or orchestration frameworks such as LangGraph, LangChain, or custom implementations.
- Development of MCP servers, connectors, plugins, or SDKs; integrations with Microsoft Graph, Teams, SharePoint, Jira, ERP, or similar systems.
- Experience with long-running workflows, human approval, durable task state, recovery, or agent evaluation frameworks.
- Hands-on cloud deployment and operations experience, preferably AWS; familiarity with caching, queues, NoSQL databases, or vector search.
- Electron development or plugins for desktop and productivity applications.