Hybrid Senior AI Engineer

Posted 2 days ago

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About the role

  • AI Engineer designing agentic and multimodal AI systems at WongDoody. Focused on creativity, data, and automation through innovative technology solutions.

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
  • 30 days vacation per year
  • Urban Sports Club
  • Nice people in welcoming teams

Job title

Senior AI Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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