Applied AI Engineer (f/m/x)

This is a company built for growth.

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. You'll work on real systems at a big scale, building high-performing consumer products used by millions. We move fast, cut the noise, and focus on what actually matters, because in our industry, speed wins. 

We're rapidly scaling one of the most exciting innovations in mobile gaming: a rewarded user engagement and acquisition platform that helps publishers acquire and retain players through rewarding experiences. Our products are data-driven by design, powered by event-driven architectures, complex business logic, and quick feedback loops, with decisions informed by data and experimentation, not gut feeling.

We are looking for an Applied AI Engineer (f/m/x) to design, build, and ship production-grade systems that weave large language models, agentic workflows, and generative AI tools into the core of our product and business operations. You will own the full lifecycle from prototyping an AI-powered automation to hardening it for production on AWS working in Python and FastAPI on a modern cloud-native stack.

This is not a research role. You will spend your time writing backend services, designing robust integrations with third-party AI APIs, and building agentic pipelines that replace manual business processes with intelligent, self-improving workflows.

If you're excited by complex systems, high traffic, and applied AI at scale, 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.

• 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

Nice to have:

• 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

• 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.

Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday!