When you join exmox, you're stepping onto a global, highly competitive playing field, solving real problems in environments that push you beyond your comfort zone. We move fast, cut the noise, and focus on what actually matters, because in our industry, speed wins.
With 50M+ platform downloads, we're rapidly scaling one of the most exciting innovations in mobile gaming: a rewarded user engagement and acquisition platform that helps players discover, and engage with games they enjoy - creating lasting value for both players and gaming studios.
As Applied AI Engineer (f/m/x) you won't be doing research or building demos that never ship. You'll design, build and run production-grade systems that bring LLMs, agentic workflows and generative AI into the core of our product and business operations, with an engineering mindset and entrepreneurial ownership: you build it, you own it, and you see the impact in production. At exmox, we're embracing AI as part of how we work, not just what we build, and in this role AI is what you build every day. We use AI tools to work smarter, cut down on repetitive tasks and spend our time where it actually moves the needle. If that mindset speaks to you, you'll fit right in.
If you're excited by complex systems, high traffic, data-driven decisions, and the chance to grow by solving challenging problems, we want to hear from you.
What You'll Own:
- Backend development: Design and build performant, well-tested Python/FastAPI services that power AI-driven features and automations.
- Agentic workflow design: Architect multi-step AI agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers. Define tool schemas, manage state, implement retry/fallback logic, and ensure human-in-the-loop controls where required.
- LLM integration: Integrate LLM providers (OpenAI, Anthropic, open-source models) via APIs and SDKs. Manage prompt engineering, context-window strategies, structured output parsing, streaming, caching, and cost optimization.
- Generative media API integration: Connect and orchestrate external AI creative tools such as Arcads, Seedance, Runway and more into automated content pipelines.
- Business process automation: Identify, propose, and implement AI-native automations across the organization, from content creation workflows to data enrichment, QA, customer support, and internal tooling.
- Cloud & DevOps: Collaborate closely with our Platform team to deploy and operate services on AWS. Manage observability and cost governance for AI workloads.
- Collaboration: Work closely with product, design, and business stakeholders to translate ambiguous business needs into concrete AI-powered solutions.