Senior AI Engineer – All Genders

Role Overview

• Design and engineer agentic and multimodal AI systems that bring together creativity, data, and automation
• Develop end-to-end GenAI workflows that integrate LLMs, visual AI systems (via ComfyUI), and existing enterprise stacks
• Connect and orchestrate visual generation interfaces with backend systems and APIs for marketing, design, and content production use cases
• Prototype, validate, and scale AI-driven experiences from concept to production (together with designers, strategists, and engineers)
• Define AI engineering standards for prompting, evaluation, observability, and ethical guardrails across WongDoody’s creative technology practice
• Provision and set up on-premises servers and cloud solutions for usage with GenAI tools
• Collaborate in cross-functional, agile teams and help evolve WongDoody’s AI-first innovation culture

Requirements

• 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)
• 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)
• Nice to have: Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Google Cloud Platform
• GRPC
• Python
• Terraform
• TypeScript

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
• Company Benefits
• Urban Sports Club
• Nice people in welcoming teams