AI Engineer designing and developing agentic and multimodal AI systems at WongDoody. Collaborating with cross-functional teams to create engaging AI-driven experiences.
Responsibilities
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
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
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