About this role
Job title: Senior AI Engineer
About the Role We are seeking a Senior AI Engineer who combines strong engineering fundamentals with a pragmatic delivery mindset—turning ambitious ideas into stable, scalable AI systems. You’ll join WongDoody’s cross-unit AI, tech and experience team and help design and deliver production-ready AI services that power GenAI and LLM-enabled experiences.
What You'll Do
- 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
- 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
- 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
What We're Looking For
- 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 TypeScript)
- Practical knowledge of LLM frameworks, tools and protocols (LangChain, LangGraph, n8n, MCP, A2A, Bedrock, or similar) including agentic architectures
- Experience in integrating visual AI tools such as ComfyUI, 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 / PubSub 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 resources 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)
- Work permit for Germany and at least one year of work onsite in Germany
Nice to Have
- Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems
Compensation & Benefits
- 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
- Urban Sports Club
- Nice people in welcoming teams