Applied AI Engineer (f/m/x)

Your Mission

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.

What You Bring

• Backend engineering: 5+ years of production Python experience, with strong hands-on knowledge of FastAPI or similar frameworks.
• LLM integration: Proven experience building LLM-powered applications including prompt engineering, context management, structured outputs, and cost optimization across providers like OpenAI or Anthropic.
• Agentic systems: Hands-on experience designing multi-step agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers, including state management, tool schemas, and fallback logic.
• API integrations: Experience integrating third-party APIs at scale, ideally including generative media or creative AI tools.
• Engineering mindset: You write clean, tested, production-ready code and take full ownership of what you ship.
• Stakeholder collaboration: Able to translate ambiguous business problems into concrete technical solutions, working closely with non-technical stakeholders.

• Generative media: Exposure to video, image, or audio generation APIs such as Runway, Seedance, or similar.
• Human-in-the-loop: Experience with AI quality assurance or approval workflows.
• Scale-up experience: Background in fast-paced, product-led environments.

How We Win

• Speed is the feature. Speed beats rocket science. We move fast, test fast, and multiply our pace with AI, because action creates information and small wins compound. A fast failure is a lesson we learn from, a slow one is a problem we can't afford.
• Focus on the essential. Done is better than perfect. We stay focused on what actually moves us forward and protect people's time from anything that doesn't. We're direct in how we communicate too, no rambling, no unnecessary detail.
• See it. Own it. Solve it. The first to see it is best placed to fix it. We're not a place for comfort, we're a place for doers. "Not my job" isn't in our vocabulary, if you spot something, you help make sure it gets solved.
• Respect others. Trust multiplies. Respect is non-negotiable. We disagree with ideas, never with people. Trust here is built the same way it is anywhere, through consistency, a thank you, a moment of listening, and owning your mistakes.
• Perks that help you focus on what matters. Transport subsidy, learning budget, wellness and gym, workation, bi-weekly team lunches, and more. The perks are great, but the real reason people join and stay is the challenge, the ownership, and the drive to win together.