exmox GmbH

Role Description This is a company built for growth. At exmox, you'll work on real systems at scale. We build high-performing consumer products used by millions in a highly competitive, global mobile gaming ecosystem powered by event-driven architectures, complex business logic, and fast feedback loops. We're scaling fast around one of the most exciting innovations in mobile gaming: a rewarded user engagement and acquisition platform that helps publishers acquire and retain players. That means distributed systems, evolving architectures, and problems that don't have textbook answers. 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. Qualifications - 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 Requirements - 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. Benefits - Ambitious people, real ownership. Work with driven people who challenge each other openly and take full ownership of meaningful parts of the business. - A company that prioritizes growth, performance, and impact. Comfort isn’t the goal here, progress is. We set a high bar and focus on delivering real results. - A highly ambitious environment with a clear goal. Building the next European tech challenger is not just an idea, it is our mission. Everything we do is driven by the ambition to compete at the highest level and win. - Direct exposure to leadership and real decision-making. You’ll work closely with experienced leaders, contribute to strategic discussions, and see how decisions shape the business in real time. Company Description Welcome! Bonjour! Selam! Olá! Hej! 🥳 we are exmox - a Hamburg based mobile marketing agency, connecting advertisers with their highest value users through our owned and operated apps. We created an innovative business model that focuses on rewarding users for testing and engaging with the apps of our clients. Our products are available in DACH, US, UK & Canada. Right now round about 60 employees from all over the world are working here with us in Hamburg. We are a divers & funny team, always looking for new talents to join us. Looking forward to meeting you!

Your Mission This is a company built for growth. At exmox, you'll work on real systems at scale. We build high-performing consumer products used by millions in a highly competitive, global mobile gaming ecosystem powered by event-driven architectures, complex business logic, and fast feedback loops. We're scaling fast around one of the most exciting innovations in mobile gaming: a rewarded user engagement and acquisition platform that helps publishers acquire and retain players. That means distributed systems, evolving architectures, and problems that don't have textbook answers. 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. 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 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 What You Can Expect - Ambitious people, real ownership. Work with driven people who challenge each other openly and take full ownership of meaningful parts of the business. - A company that prioritizes growth, performance, and impact. Comfort isn’t the goal here, progress is. We set a high bar and focus on delivering real results. - A highly ambitious environment with a clear goal. Building the next European tech challenger is not just an idea, it is our mission. Everything we do is driven by the ambition to compete at the highest level and win. - Direct exposure to leadership and real decision-making. You’ll work closely with experienced leaders, contribute to strategic discussions, and see how decisions shape the business in real time.

• Design and build performant, well-tested Python/FastAPI services that power AI-driven features and automations. • Architect multi-step AI agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers. • Integrate LLM providers (OpenAI, Anthropic, open-source models) via APIs and SDKs. • Connect and orchestrate external AI creative tools such as Arcads, Seedance, Runway and more into automated content pipelines. • Identify, propose, and implement AI-native automations across the organization from content creation workflows to data enrichment, QA, customer support, and internal tooling. • Collaborate closely with our Platform team to deploy and operate services on AWS.

• Plan, execute, and optimize high-impact user acquisition campaigns across performance platforms, including Meta, Google Ads, IronSource, Unity, Liftoff, and more. • Analyze campaign data and drive performance toward maximum Return on Ad Spend (ROAS), making proactive, data-driven decisions. • Monitor key metrics and adjust strategies continuously to improve results and reach ambitious growth goals. • Lead A/B testing initiatives to uncover insights and elevate UA performance. • Track and report performance metrics regularly, ensuring transparency and measurable impact. • Build and maintain strong relationships with advertising partners, driving collaboration and mutual success. • Collaborate cross-functionally to develop and implement innovative user acquisition strategies. • Proactively stay ahead of industry trends and best practices, bringing fresh ideas to the team and continuously pushing the bar.