Senior AI Engineer

What you can expect

• AI Systems & Service Architecture
  • Design and build production-ready AI services and backend systems
  • Develop APIs, orchestrations, and integrations for GenAI and LLM-based applications
  • Create technical foundations that enable teams to build, scale, and operate reliably
  • Contribute to RFPs, pitches, and forward-looking AI solution concepts
• Reliability, Scale & Performance
  • Ensure AI solutions run reliably, perform efficiently, and remain cost-effective
  • Make architectural decisions around scalability, monitoring, security, and maintainability
  • Optimize systems across quality, latency, operational cost, and developer experience
• Technical Leadership & Collaboration
  • Work closely with Creative Technologists, Product, Design, and Engineering
  • Lead technical discussions and bring clarity to complex initiatives
  • Support other engineers through reviews, sparring, and best practices
  • Engage in client‑facing conversations and explain technical concepts to senior stakeholders

• A passion for creative technology, curiosity for emerging AI tools, and the ability to turn ideas into working prototypes
• Analytical and structured mindset with the ability to make complexity simple
• End‑to‑end architecture from prototyping to production (including CI/CD, logging, analytics, and scaling)
• Several years of experience building production‑grade AI or backend systems
• Strong experience in software engineering (Python and/or Type Script)
• Practical knowledge of LLM frameworks, tools and protocols (Lang Chain, Lang Graph, n8n, MCP, A2A, Bedrock, or similar) including agentic architectures
• Experience in integrating visual AI tools such as Comfy
  
  UI, Stable Diffusion, Google Imagen, or Adobe Firefly into broader workflow systems
• Proven experience integrating text‑based AI APIs like ChatGPT, Claude, Gemini, or Llama into end‑to‑end workflow solutions
• Familiarity with prompting techniques, RAG pipelines, and AI workflow orchestration including guidance/guardrails, observability (P95, cost/request), evaluation pipelines
• Understanding of real‑time communication protocols (Websocket / gRPC / Pub Sub event handling) and API integration across data and creative environments
• Competence in infrastructure setup (Docker, Terraform, cloud platforms like GCP, AWS, or Azure), understanding the resource cost factor and ability to optimize it
• Open‑source engagement or hands‑on experimentation with AI agents, visual frameworks, or orchestration systems
• Excellent English communication skills (German is a plus)
• Nice to have:
  Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems

• Flexible working hours and 100% overtime compensation
• Work where it works for you. At home or in the office, or any mix you like
• Working for strong brands and clients we believe in
• 30 days vacation per year
• Company Benefits
• Urban Sports Club
• Nice people in welcoming teams

You’ll shape the future of AI agent experiences and scalable AI systems that work reliably in production environments, create standards, and transform complex systems into meaningful, measurable experiences for users, brands, and products.